a) What was the sample size of the data set this model was built upon? (Enter your answer as a whole number.)b) Test the overall fitness of the model. State the appropriate test statistic name, degrees of freedom, test statistic value, and the associated p-value (Enter the degrees of freedom as whole numbers, the test statistic value to three decimal places, and the p-value to four decimal places).c) What percentage of the variation in GDP was explained by the model? (Enter your answet to two decimal places.)(blank)%d) What is the typical size of a prediction error from this model? (Enter your answer to three decimal places.)(blank) billions of dollarse) On average, how much is GDP expected to change (either increase or decrease) for a 1 percentage point increase in Wages & Salaries? Answer this question by constructinga 90% confidence interval for the change in GDP for a 1 percentage point increase in Wages & Salaries, holding all else constant. (Enter your answers to three decimal places.)((blank), (blank)) billions of dollarsf) Which is the most useful predictor variable in this model?

You are sharing your entire screen. Stop Sharing Economics: Data are available for a number of countries in Central and South America and the Caribbean. The objective is to predict a country's Gross Domestic Product (GDP) (in billions of U.S. dollars) from the information listed below. y, GDP (in billions of U.S. dollars) X1, Moody's Rating (Coded 1 for "A" ratings, 0 otherwise) x2, Adj. Default Spread (as a percentage) X3, Wage and Salaries (as a percentage) x4, Corporate Profits (as a percentage) X5, Farmer's Income (as a percentage) THE RAW DATA FOR THIS QUESTION ARE **NOT** AVAILABLE TO YOU. Use the output below to answer the following questions. ANOVA df SS MS F-Statistic p-value Regression 5 1,910,178 382,036 Residual 32 4,294,207 134,194 Total 37 6,204,385 Coefficients Standard Error t-Statistic p-value Intercept -2,488.957 1, 147.996 2.168 0.0377 Moody's Rating 317.740 204.075 1.557 0. 1293 Adj. Default Spread 115.457 169.268 0.682 0.5001 Wage & Salaries 153.438 73.307 2.093 0.0444 Corporate Profits 45.815 93.014 0.493 0.6257 Farmer's Income 20.404 8.855 2.304 0.0279 a) What was the sample size of the data set this model was built upon? (Enter your answer as a whole number. )