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=245.73-0.75/-0.23P+0.75E, By imposing restrictions on the true coefficients, the researcher wishes to test the null 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 40.75, respectively. The homoskedasticity-only F-statistic value associated with the above test will be (Round your answer to two decimal places.) At the 1% significance level, the researcher will the joint null hypothesis.