Exam 7: Demand Estimation and Forecasting

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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per year. The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per year. -The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per year.

(Short Answer)
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refer to the following: A forecaster used the regression equation refer to the following: A forecaster used the regression equation     and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D<sub>1</sub>, D<sub>2</sub>and D<sub>3</sub>are dummy variables for quarters I, II, and III.     -At the 5 percent level of significance, is there a statistically significant trend in sales? and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2and D3are dummy variables for quarters I, II, and III. refer to the following: A forecaster used the regression equation     and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D<sub>1</sub>, D<sub>2</sub>and D<sub>3</sub>are dummy variables for quarters I, II, and III.     -At the 5 percent level of significance, is there a statistically significant trend in sales? -At the 5 percent level of significance, is there a statistically significant trend in sales?

(Multiple Choice)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce: Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. where Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. is the number of jars of picante sauce sold per month, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. is the price of picante sauce, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. is the price of a bag of nacho chips, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪ Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips. -Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips.

(Short Answer)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce: Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: where Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: is the number of jars of picante sauce sold per month, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: is the price of picante sauce, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: is the price of a bag of nacho chips, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪ Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below: -If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below:

(Short Answer)
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refer to the following: The manufacturer of Beanie Baby dolls used quarterly price data for 2002I - 2010IV (t = 1, ..., 36) and the regression equation refer to the following: The manufacturer of Beanie Baby dolls used quarterly price data for 2002I - 2010IV (t = 1, ..., 36) and the regression equation       to forecast doll prices in the year 2011. P<sub>t</sub> is the quarterly price of dolls, and D1<sub>t</sub> , D2<sub>t</sub> and D3<sub>t</sub> are dummy variables for quarters I, II, and III, respectively.    -Using the estimated time-series regression, predicted price in the 1st quarter of 2011 is to forecast doll prices in the year 2011. Pt is the quarterly price of dolls, and D1t , D2t and D3t are dummy variables for quarters I, II, and III, respectively. refer to the following: The manufacturer of Beanie Baby dolls used quarterly price data for 2002I - 2010IV (t = 1, ..., 36) and the regression equation       to forecast doll prices in the year 2011. P<sub>t</sub> is the quarterly price of dolls, and D1<sub>t</sub> , D2<sub>t</sub> and D3<sub>t</sub> are dummy variables for quarters I, II, and III, respectively.    -Using the estimated time-series regression, predicted price in the 1st quarter of 2011 is -Using the estimated time-series regression, predicted price in the 1st quarter of 2011 is

(Multiple Choice)
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For a nonlinear demand function of the form , For a nonlinear demand function of the form ,   , the estimated cross-price elasticity of demand is , the estimated cross-price elasticity of demand is

(Multiple Choice)
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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. -The forecasted sales for the 4th quarter of 2008 are ___________ units.

(Short Answer)
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refer to the following: A consulting firm estimates the following quarterly sales forecasting model: ‪ refer to the following: A consulting firm estimates the following quarterly sales forecasting model:  ‪    The equation is estimated using quarterly data from 2000I-2010III (t = 1,..., 43). The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:  ‪   -Using the estimated trend line, what is the predicted level of sales in 2011I ? The equation is estimated using quarterly data from 2000I-2010III (t = 1,..., 43). The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are: ‪ refer to the following: A consulting firm estimates the following quarterly sales forecasting model:  ‪    The equation is estimated using quarterly data from 2000I-2010III (t = 1,..., 43). The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:  ‪   -Using the estimated trend line, what is the predicted level of sales in 2011I ? -Using the estimated trend line, what is the predicted level of sales in 2011I ?

(Multiple Choice)
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The estimated market demand for good X is The estimated market demand for good X is   where   is the estimated number of units of good X demanded, P is the price of the good, M is income, and   is the price of related good G. (All parameter estimates are statistically significant at the 1 percent level of significance.) -Good X is a(n) ______________ good and goods X and G are _________________. where The estimated market demand for good X is   where   is the estimated number of units of good X demanded, P is the price of the good, M is income, and   is the price of related good G. (All parameter estimates are statistically significant at the 1 percent level of significance.) -Good X is a(n) ______________ good and goods X and G are _________________. is the estimated number of units of good X demanded, P is the price of the good, M is income, and The estimated market demand for good X is   where   is the estimated number of units of good X demanded, P is the price of the good, M is income, and   is the price of related good G. (All parameter estimates are statistically significant at the 1 percent level of significance.) -Good X is a(n) ______________ good and goods X and G are _________________. is the price of related good G. (All parameter estimates are statistically significant at the 1 percent level of significance.) -Good X is a(n) ______________ good and goods X and G are _________________.

(Short Answer)
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refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -At the 1 percent level of significance, the number of degrees of freedom for a t-test is _____, and the critical value of the t-statistic is ________. Only parameter estimate(s) ________ is (are) NOT statistically significant at the 1 percent level of significance. where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -At the 1 percent level of significance, the number of degrees of freedom for a t-test is _____, and the critical value of the t-statistic is ________. Only parameter estimate(s) ________ is (are) NOT statistically significant at the 1 percent level of significance. = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪ refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -At the 1 percent level of significance, the number of degrees of freedom for a t-test is _____, and the critical value of the t-statistic is ________. Only parameter estimate(s) ________ is (are) NOT statistically significant at the 1 percent level of significance. -At the 1 percent level of significance, the number of degrees of freedom for a t-test is _____, and the critical value of the t-statistic is ________. Only parameter estimate(s) ________ is (are) NOT statistically significant at the 1 percent level of significance.

(Multiple Choice)
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The estimated demand for a good is The estimated demand for a good is   , where   = units of the good, P = price of the good, M = income, and   = price of related good Z. All parameter estimates are statistically significant. Which of the following statements are correct? , where The estimated demand for a good is   , where   = units of the good, P = price of the good, M = income, and   = price of related good Z. All parameter estimates are statistically significant. Which of the following statements are correct? = units of the good, P = price of the good, M = income, and The estimated demand for a good is   , where   = units of the good, P = price of the good, M = income, and   = price of related good Z. All parameter estimates are statistically significant. Which of the following statements are correct? = price of related good Z. All parameter estimates are statistically significant. Which of the following statements are correct?

(Multiple Choice)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce: Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: where Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: is the number of jars of picante sauce sold per month, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: is the price of picante sauce, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: is the price of a bag of nacho chips, Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪ Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:   where   is the number of jars of picante sauce sold per month,   is the price of picante sauce,   is the price of a bag of nacho chips,   is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations: ‪   -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below: -At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below:

(Short Answer)
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refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -If the price of asphalt (   ) decreases 20%, the estimated quantity of cement demanded will: where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -If the price of asphalt (   ) decreases 20%, the estimated quantity of cement demanded will: = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪ refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -If the price of asphalt (   ) decreases 20%, the estimated quantity of cement demanded will: -If the price of asphalt ( refer to the following: Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:     where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and   = the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below: ‪   -If the price of asphalt (   ) decreases 20%, the estimated quantity of cement demanded will: ) decreases 20%, the estimated quantity of cement demanded will:

(Multiple Choice)
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A forecaster used the following regression equation A forecaster used the following regression equation   and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and   ,and   are seasonal dummy variables for quarters I, II, and III.    -The forecasted sales for the 1<sup>st</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 2<sup>nd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 3<sup>rd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and A forecaster used the following regression equation   and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and   ,and   are seasonal dummy variables for quarters I, II, and III.    -The forecasted sales for the 1<sup>st</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 2<sup>nd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 3<sup>rd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. ,and A forecaster used the following regression equation   and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and   ,and   are seasonal dummy variables for quarters I, II, and III.    -The forecasted sales for the 1<sup>st</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 2<sup>nd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 3<sup>rd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. are seasonal dummy variables for quarters I, II, and III. A forecaster used the following regression equation   and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and   ,and   are seasonal dummy variables for quarters I, II, and III.    -The forecasted sales for the 1<sup>st</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 2<sup>nd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 3<sup>rd</sup> quarter of 2008 are ___________ units. 	The forecasted sales for the 4<sup>th</sup> quarter of 2008 are ___________ units. -The forecasted sales for the 1st quarter of 2008 are ___________ units. The forecasted sales for the 2nd quarter of 2008 are ___________ units. The forecasted sales for the 3rd quarter of 2008 are ___________ units. The forecasted sales for the 4th quarter of 2008 are ___________ units.

(Short Answer)
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For a linear demand function, For a linear demand function,   , the income elasticity is , the income elasticity is

(Multiple Choice)
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The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method: The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:    The estimation results are presented below: ‪   -All else constant, a 22 percent increase in price causes quantity demanded _____________ (increase, decrease) by _____ percent. The estimation results are presented below: ‪ The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:    The estimation results are presented below: ‪   -All else constant, a 22 percent increase in price causes quantity demanded _____________ (increase, decrease) by _____ percent. -All else constant, a 22 percent increase in price causes quantity demanded _____________ (increase, decrease) by _____ percent.

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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The statistical estimates indicate a(n) ___________ (positive, negative) seasonal effect on 2<sup>nd</sup> quarter sales of _________ units in the 2<sup>nd</sup> quarter of each year. The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are: You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:    The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the season for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:    -The statistical estimates indicate a(n) ___________ (positive, negative) seasonal effect on 2<sup>nd</sup> quarter sales of _________ units in the 2<sup>nd</sup> quarter of each year. -The statistical estimates indicate a(n) ___________ (positive, negative) seasonal effect on 2nd quarter sales of _________ units in the 2nd quarter of each year.

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The empirical demand function is estimated in log-linear form as The empirical demand function is estimated in log-linear form as   where   is the estimated number of units of good X demanded, P is the price of X, M is income, and   is the price of related good Y. (All parameters estimates are significantly different from zero at the 5 percent level.) -At P = $3.55, M = $25,035, and P<sub>V</sub> = $5.07, the predicted quantity demanded is _________ units of good X. where The empirical demand function is estimated in log-linear form as   where   is the estimated number of units of good X demanded, P is the price of X, M is income, and   is the price of related good Y. (All parameters estimates are significantly different from zero at the 5 percent level.) -At P = $3.55, M = $25,035, and P<sub>V</sub> = $5.07, the predicted quantity demanded is _________ units of good X. is the estimated number of units of good X demanded, P is the price of X, M is income, and The empirical demand function is estimated in log-linear form as   where   is the estimated number of units of good X demanded, P is the price of X, M is income, and   is the price of related good Y. (All parameters estimates are significantly different from zero at the 5 percent level.) -At P = $3.55, M = $25,035, and P<sub>V</sub> = $5.07, the predicted quantity demanded is _________ units of good X. is the price of related good Y. (All parameters estimates are significantly different from zero at the 5 percent level.) -At P = $3.55, M = $25,035, and PV = $5.07, the predicted quantity demanded is _________ units of good X.

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refer to the following: A forecaster used the regression equation refer to the following: A forecaster used the regression equation     and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D<sub>1</sub>, D<sub>2</sub>and D<sub>3</sub>are dummy variables for quarters I, II, and III.     -Using the estimation results given above, the predicted level of sales in 2011II is _______ units. and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2and D3are dummy variables for quarters I, II, and III. refer to the following: A forecaster used the regression equation     and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D<sub>1</sub>, D<sub>2</sub>and D<sub>3</sub>are dummy variables for quarters I, II, and III.     -Using the estimation results given above, the predicted level of sales in 2011II is _______ units. -Using the estimation results given above, the predicted level of sales in 2011II is _______ units.

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The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method: The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:    The estimation results are presented below: ‪   -An 8 percent decrease in the price of R, holding all other variables constant, causes quantity demanded to _____________ (increase, decrease) by _____ percent. The estimation results are presented below: ‪ The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:    The estimation results are presented below: ‪   -An 8 percent decrease in the price of R, holding all other variables constant, causes quantity demanded to _____________ (increase, decrease) by _____ percent. -An 8 percent decrease in the price of R, holding all other variables constant, causes quantity demanded to _____________ (increase, decrease) by _____ percent.

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