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1.The p -values reported in the Excel linear regression output associated with individual independent variables are the p -values for testing: Select one: a.whether the

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1.The p-values reported in the Excel linear regression output associated with individual independent variables are the p-values for testing:

Select one:

a.whether the individual unknown true regression coefficients associated with independent variables are zero or not.

b.R-square being zero.

c.whether the individual known true regression coefficients associated with independent variables are zero or not.

d.heteroscedasticity.

e.whether all the individual regression coefficients associated with independent variables are zero or not.

2.

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In the linear regression models we study in this course, y = a + Bix, + + Bexx + e, the 95% confidence interval for the estimate , reported in the Excel output indicates: Select one: O a. We are 95% confident that the true marginal effect of x] on y lies on the somewhere inside confidence interval. O b. We are 95% confident that the estimate marginal effect of xx on y lies on somewhere inside confidence interval O c. We are 95% confident that the estimate marginal effect of x, on y lies on somewhere inside confidence interval. O d. We are 95% confident that the true marginal effect of y on x, lies on the somewhere inside confidence interval. O e. We are 95% confident that the estimated marginal effect of y on x, lies on the somewhere inside confidence interval.In the linear regression models we study in this course, y= a + B1X,+ BX2+ ..+ BIn (X,) +e, which of the following statements is the most accurate? Select one: O a. y is a linear function of x], ..., In (Xk). O b. In (y) is a nonlinear function of X1, ..., Xk. O c. In (y) is a nonlinear function of In (x] ), ..., In (Xk). O d. In (y) is a linear function of In (x1), ..., In (Xk). O e. y is a nonlinear function of X], ..., Xk.In linear regression models y = a + Bix,+ + xXx + e, to forecast y we need: Select one: O a. all x1, ..., xx values for which we forecast on. O b. the sample observations on y and x, and the estimates, a, B1, ..., BK. O c. the residual. O d. the sample observations on yonly. O e. the sample observations on x only

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