If the error term is homoskedastic, the F-statistic can be written in terms of the improvement in the fit of the regression. How can we MasSUU D fit? (Check all that apply.) A. The improvement in the fit of the regression can be measured by the increase in sum of squared residuals (SSR). The improvement in the fit of the regression can be measured by the increase in the regression R. The improvement in the fit of the regression can be measured by the decrease in the regression R. D. The improvement in the fit of the regression can be measured by the decrease in sum of squared residuals (SSR) B. OC. A researcher wants to study the factors which affected the sales of cars by different manufacturers in the automobile industry across the world in the year 2017 Generally, the sales of cars (S, measured in thousands) depend on the average price of the cars sold by the manufacturer (P, measured in thousand dollars), the average interest rate at which car loans were offered in that country in that year (I, expressed as a percentage), and the manufacturers' total expenditure on the advertisement of their cars (E, measured in thousand dollars). She selects a random sample of 150 car manufacturers and estimates the following regression function: s=245 73-068/-0.37P०065E, By imposing restrictions on the true coefficients, the researcher wishes to test the nul hypothesis that the coefficients on /and E are jointly 0, against the alternative that atleast one of them is not equal to 0, while controlling for the other variables. The values of the sum of squared residuals (SSR) from the unrestricted and restricted regressions are 35.25 and 38.75, respectively. The homoskedasticity-only Fatatistic value associated with the above test will beO (Round your answor to two decimal places.) At the 1% significance level, the researcher wll the joint nuil hypothesis.