What happens to the regression F value if R2 increases holding

QUESTION

2.What happens to the regression F value if R2 increases holding everything else constant?a. f value increasesb.f value decreasesc. f value remains the samed. cannot be determined4.What statistic is designed to detect multicollinearity in a regression model?a. durbin-watsonb. coefficient t-valuec. standard errord. variance inflation factor5.What is meant when we refer to multiple regression coefficients as partial or net regression coefficients?a. Any independent variable only explains a portion of the variation in the dependent variableb. The coefficients have significance levels that achieve the confidence level desired.c. The coefficients represent the average change in the dependent variable per unit change in the independent variable holding all other things constantd. both a and be. none of the above6.What statistic is used to determine if residuals are heteroscedastic?a. durbin-watsonb. r-squarec. variance inflation factord. kb squared fit coefficient t-valuee.12th lag and 24th lbq8.With time series data when error terms are significantly correlated (or autoregressive) and indicate a cycle pattern the problem is termeda. heteroscedascityb. positive serial correlationc.multicollinearity.d. negative serial correlatione. homoscedasticity.9.GE earnings in billions of dollars are estimated using U.S GNP (Gross National Product) in billions of dollars. The regression equation is Y = .065 + .02X. Interpreting the equationa.Y = $65 million if the value when X is equal to zero.b.when X increases by one billion dollars the average change in Y is 20 million dollarsc.when X increases by one dollar the average change in Y is .02 billion dollars plus .065 billion dollars.d. both a and b10. Which statistic in a multiple regression model is the standard deviation of the difference between the actual value (Y) and the estimated value (Ŷ)?a. standard error of coefficientb.R spuaredc. sstd. seee. mean square regression

ANSWER

CLICK HERE TO GET AN EXPERT SOLUTION TO THE QUESTION