Exam 16: Regression Models for Nonlinear Relationships

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The following data show the demand for an airline ticket dependent on the price of this ticket. The following data show the demand for an airline ticket dependent on the price of this ticket.   For the assumed cubic and log-log regression models,Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand)= β<sub>0</sub> + β<sub>1</sub>ln(Price)+ ε,the following regression results are available.   Which of the following is the percentage of variations in ln(Demand)explained by the log-log regression equation? For the assumed cubic and log-log regression models,Demand = β0 + β1Price + β2Price2 + β3Price3 + ε and ln(Demand)= β0 + β1ln(Price)+ ε,the following regression results are available. The following data show the demand for an airline ticket dependent on the price of this ticket.   For the assumed cubic and log-log regression models,Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand)= β<sub>0</sub> + β<sub>1</sub>ln(Price)+ ε,the following regression results are available.   Which of the following is the percentage of variations in ln(Demand)explained by the log-log regression equation? Which of the following is the percentage of variations in ln(Demand)explained by the log-log regression equation?

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In which of the following models does the slope coefficient b1/100 measure the approximate percentage change in In which of the following models does the slope coefficient b<sub>1</sub>/100 measure the approximate percentage change in   when x increases by 1%? when x increases by 1%?

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Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results.   Suppose the restriction β<sub>3</sub> = 0 is imposed on the cubic regression model Debt = β<sub>0</sub>+ β<sub>1</sub>Age + β<sub>2</sub>Age<sup>2</sup>+ β<sub>3</sub>Age<sup>3</sup>+ ε.What regression equation is obtained under this restriction? Suppose the restriction β3 = 0 is imposed on the cubic regression model Debt = β0+ β1Age + β2Age2+ β3Age3+ ε.What regression equation is obtained under this restriction?

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If the restriction β3 = 0 is imposed on the cubic regression model,we are obtaining the quadratic regression model.

When not all variables are transformed into logarithms the models are called _______ models.

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Which of the following regression models is not polynomial?

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In which of the following models does the slope coefficient b1 × 100 measure the approximate percentage change in In which of the following models does the slope coefficient b<sub>1</sub> × 100 measure the approximate percentage change in   when x increases by one unit? when x increases by one unit?

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For the exponential model ln(y)= β0 + β1x + ε,β1 × 100% is the approximate percentage change in E(y)when x increases by 1%.

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The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height. The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height.     Which of the following is the predicted height of an eight-year-old cherry tree that was planted as a one-year-old and six-foot-tall tree? The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height.     Which of the following is the predicted height of an eight-year-old cherry tree that was planted as a one-year-old and six-foot-tall tree? Which of the following is the predicted height of an eight-year-old cherry tree that was planted as a one-year-old and six-foot-tall tree?

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If the data are available on the response variable y and the explanatory variable x,and the fit of the quadratic regression model y = β0 + β1x + β2x2 + ε is to be tested,standard linear regression can be applied on ________.

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The log-log regression model is ________ in the variables.

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The scatterplot shown below represents a typical shape of a cubic regression model y = β0 + β1x + β2x2 + β3x3 + ε. The scatterplot shown below represents a typical shape of a cubic regression model y = β<sub>0</sub> + β<sub>1</sub>x + β<sub>2</sub>x<sup>2</sup> + β<sub>3</sub>x<sup>3</sup> + ε.   Which of the following is a predicted value   if x is equal to 12? Which of the following is a predicted value The scatterplot shown below represents a typical shape of a cubic regression model y = β<sub>0</sub> + β<sub>1</sub>x + β<sub>2</sub>x<sup>2</sup> + β<sub>3</sub>x<sup>3</sup> + ε.   Which of the following is a predicted value   if x is equal to 12? if x is equal to 12?

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The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height. The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height.     Which of the following is the correlation coefficient between Height and ln(Age)? The following data,with the corresponding Excel scatterplot,show the average growth rate of Weeping Higan cherry trees planted in Washington,DC.At the time of planting,the trees were one year old and were all six feet in height.     Which of the following is the correlation coefficient between Height and ln(Age)? Which of the following is the correlation coefficient between Height and ln(Age)?

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Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results.   What is the sample correlation coefficient between Age and Debt? What is the sample correlation coefficient between Age and Debt?

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Many nonlinear regression models can be studied under the linear regression framework using transformation of the response variable and/or the explanatory variables.

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Typically,the sales volume declines with an increase of a product's price.It has been observed,however,that for some luxury goods the sales volume may increase when the price increases.The following Excel output illustrates this rather unusual relationship. Typically,the sales volume declines with an increase of a product's price.It has been observed,however,that for some luxury goods the sales volume may increase when the price increases.The following Excel output illustrates this rather unusual relationship.   Using the quadratic equation,predict the sales if the luxury good is priced at $100. Using the quadratic equation,predict the sales if the luxury good is priced at $100.

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In which of the following models does the slope coefficient b1 measure the change in In which of the following models does the slope coefficient b<sub>1</sub> measure the change in   when x increases by one unit? when x increases by one unit?

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Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results.   For the cubic model,Debt = β<sub>0</sub>+ β<sub>1</sub>Age + β<sub>2</sub>Age<sup>2</sup>+ β<sub>3</sub>Age<sup>3</sup>+ ε,the following Excel partial output is available.What is the conclusion when testing the individual significance of Age<sup>3</sup>?  For the cubic model,Debt = β0+ β1Age + β2Age2+ β3Age3+ ε,the following Excel partial output is available.What is the conclusion when testing the individual significance of Age3? Thirty employed single individuals were randomly selected to examine the relationship between their age (Age)and their credit card debt (Debt)expressed as a percentage of their annual income.Three polynomial models were applied and the following table summarizes Excel's regression results.   For the cubic model,Debt = β<sub>0</sub>+ β<sub>1</sub>Age + β<sub>2</sub>Age<sup>2</sup>+ β<sub>3</sub>Age<sup>3</sup>+ ε,the following Excel partial output is available.What is the conclusion when testing the individual significance of Age<sup>3</sup>?

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The following data show the demand for an airline ticket dependent on the price of this ticket. The following data show the demand for an airline ticket dependent on the price of this ticket.   For the assumed cubic and log-log regression models,Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand)= β<sub>0</sub> + β<sub>1</sub>ln(Price)+ ε,the following regression results are available.   Assuming that the sample correlation coefficient between Demand and   = exp(26.3660 - 3.2577 ln(Price)+ (0.2071)<sup>2</sup>/2)is 0.956,what is the predicted demand for a price of $250 found by the model with better fit? For the assumed cubic and log-log regression models,Demand = β0 + β1Price + β2Price2 + β3Price3 + ε and ln(Demand)= β0 + β1ln(Price)+ ε,the following regression results are available. The following data show the demand for an airline ticket dependent on the price of this ticket.   For the assumed cubic and log-log regression models,Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand)= β<sub>0</sub> + β<sub>1</sub>ln(Price)+ ε,the following regression results are available.   Assuming that the sample correlation coefficient between Demand and   = exp(26.3660 - 3.2577 ln(Price)+ (0.2071)<sup>2</sup>/2)is 0.956,what is the predicted demand for a price of $250 found by the model with better fit? Assuming that the sample correlation coefficient between Demand and The following data show the demand for an airline ticket dependent on the price of this ticket.   For the assumed cubic and log-log regression models,Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand)= β<sub>0</sub> + β<sub>1</sub>ln(Price)+ ε,the following regression results are available.   Assuming that the sample correlation coefficient between Demand and   = exp(26.3660 - 3.2577 ln(Price)+ (0.2071)<sup>2</sup>/2)is 0.956,what is the predicted demand for a price of $250 found by the model with better fit? = exp(26.3660 - 3.2577 ln(Price)+ (0.2071)2/2)is 0.956,what is the predicted demand for a price of $250 found by the model with better fit?

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Typically,the sales volume declines with an increase of a product price.It has been observed,however,that for some luxury goods the sales volume may increase when the price increases.The following Excel output illustrates this rather unusual relationship. Typically,the sales volume declines with an increase of a product price.It has been observed,however,that for some luxury goods the sales volume may increase when the price increases.The following Excel output illustrates this rather unusual relationship.   What is the number of estimated coefficients of the cubic regression model? What is the number of estimated coefficients of the cubic regression model?

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The equation y = β0 + β1x + β2x2 + ε is called a cubic regression model.

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