CAN YOU EXPLAIN THE FORMULA FOR SOLVING THESE QUESTIONS FROM THE OUTPUTS GIVEN?

QUESTION 1

A microeconomist wants to determine how corporate sales are inuenced by capital and wage spending by companies. She proceeds to randomly select 26 large corporations and record information in millions of dollars. The technology output shows the result of this multiple regression in the accompanying table. What are the predicted sales (in millions of dollars) for a company spending $100 million on capital and $100 million on wages? @ Click the icon to View the regression summary output. E) $15,800.00 $20,455.98 @- $17,277.49 $16,520.07 Regression Statistics Multiple R 0.830 R Square 0.689 Adjusted R Square 0.662 Standard Error 17,501.643 Observations 26 ANOVA df SS MS F Signif F Regression 2 15,579,777,040 7,789,888,520 25.432 0.0001 Residual 23 7,045,072,780 306,307,512 Total 25 22,624,849,820 Coeff StdError t Stat p-value Intercept 15,800.0000 6,038.5674 2.617 0.0154 Capital 0.1245 0.2045 0.609 0.5485 Wages 7.0762 1.4729 4.804 0.0004An economist is interested to see how consumption for an economy (in $ billions) is inuenced by gross domestic product (96 billions) and aggregate price (consumer price index). The technology output of this regression is partially reproduced in the accompanying table. One economy in the sample had an aggregate consumption level of $3 billion, a GDP of $3.5 billion, and an aggregate price level of 125. What is the residual for this data point? Click the icon to View the regression summary output. {:3- $2.52 billion {:3 - $1.33 billion {:3 $0.48 billion {:3 - $2.52 billion Regression Statistics Multiple R 0.991 R Square 0.982 Adjusted R Square 0.976 Standard Error 0.299 Observations 10 ANOVA df SS MS F Signif F Regression 33.4163 16.7082 186.3250.001 Residual CONN 0.6277 0.0897 Total 34.0440 Coeff StdError t Stat p-value Intercept 0.0861 0.5674 - 0.152 0.8837 GDP 0.7654 0.0574 13.340 0.001 Price - 0.0006 0.0028 - 0.219 0.8330A microeconomist wants to determine how corporate sales are inuenced by capital and wage spending by companies. She proceeds to randomly select 26 large corporations and record information in millions of dollars. The technology output shows the result of this multiple regression in the accompanying table. Which of the independent variables in the model are signicant at the 5% level? |. Capital, Wages I1. Capital |||. Wages E53] Click the icon to View the regression summary output. (I) It only | only Ill only None of these Regression Statistics Multiple R 0.830 R Square 0.689 Adjusted R Square 0.662 Standard Error 17,501.643 Observations 26 ANOVA df SS MS F Signif F Regression 2 15,579,777,040 7,789,888,520 25.432 0.0001 Residual 23 7,045,072,780 306,307,512 Total 25 22,624,849,820 Coeff StdError t Stat p-value Intercept 15,800.0000 6,038.5674 2.617 0.0154 Capital 0.1245 0.2045 0.609 0.5485 Wages 7.0762 1.4729 4.804 0.0004