Exam 5: Demand Estimation

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The standard error of the regression measures the

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If the price of a commodity rises and the quantity sold increases, it does not prove that the demand curve for the commodity slopes upward.

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Using observational research approach, data is obtained from

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The scatter diagram represents the error terms from a simple linear regression estimated from time-series data. The error terms are plotted against time. The diagram shows evidence of The scatter diagram represents the error terms from a simple linear regression estimated from time-series data. The error terms are plotted against time. The diagram shows evidence of

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Analysis of variance tests the explanatory power of the entire regression.

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Calculate the equation of the linear function that is plotted on the graph. Calculate the equation of the linear function that is plotted on the graph.

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Heteroscedasticity refers to a situation in which the error terms from a regression analysis

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A multiple regression analysis based on a data set that consists of 505 observations yielded the following estimated demand equation: Q = 50 - 2P + 0.01I + 0.01A Where P is price, I is income, and A is advertising. If price is equal to $20, income is equal to $2,000, and advertising expenditures are equal to $5,000, then the predicted quantity demanded (Q) is

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Application of simple linear regression analysis to the estimation of a demand equation has yielded the following: Q = 44 - 11P If the current product price is P = $1 and the quantity sold per time period is Q = 30, then the error (e) for the current time period is equal to

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Using consumer survey approach, data is obtained from

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The Y intercept of a linear function is equal to the value of X when Y is equal to zero.

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Assume that a firm wants to use multiple regression analysis on Excel to estimate how the demand for its product X depends on price of its product, consumer's income (i)and a price of a substitute Y. Which of the following explicit linear form should the firm use?

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The application of multiple regression analysis to a time-series data set yields a calculated Durbin-Watson statistic that is equal to 1.00. If the lower test value at the 1 percent level is 1.28 and the upper value is 1.51, then there is evidence that

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A significance test on the slope coefficient using the t ratio tests the hypothesis that the slope is equal to zero.

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Your coworker has run a simple univariate regression and computed the explained and the total variation in Y and asked you to compute the coefficient of correlation Expl.var.in Y=t=1n(Y^tYˉ)2=550Y = \sum _ { t = 1 } ^ { n } \left( \hat { Y } _ { t } - \bar { Y } \right) ^ { 2 } = 550 Total. var.in Y=t=1n(YtYˉ)2=895Y = \sum _ { t = 1 } ^ { n } \left( Y _ { t } - \bar { Y } \right) ^ { 2 } = 895

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One advantage of estimating a function in which all variables have been transformed into their natural logarithms is that

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The F test has, as its null hypothesis, the proposition that none of the estimated slope coefficients is different from zero.

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Which of the following countries is the top exporter in dollar value of exports in the US in 2015?

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One advantage of consumer clinics over market experiments is the ability to control the environment and screen out the effects of external events.

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The demand curve for a commodity can generally be approximated by drawing a graph with price on the horizontal axis and quantity on the vertical axis, plotting a series of points that represent observed combinations of price and quantity, and then drawing lines that connect the points.

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