The observed profit is likely to differ plus or minus (how much) from the predicted profit? Explain.

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7. Is the number of storms a significant predictor of hurricane days? A. Yes because the p-value for slope is .000 B. No because the p-value for slope is .000 C. Yes because the p-value for intercept is .105 D. No because the p-value for intercept is .105 Assets, sales, and profit were obtained from the Dow Jones 30 industrials. A multiple regression analysis was done to predict profit from assets and sales. Excel output was shown below. Use the output to answer questions 8 through 10. Regression Statistics Multiple R 0.628 R Square 0.394 Adjusted R Square 0.349 Standard Error 2.450 Observations 30 ANOVA SS MS F Signif F Regression 105.402 52.701 8.783 0.001 Residual 27 162.012 6.000 Tota 29 267.414 Coeff Stand error t Stat Pvalue Lower 95% Upper 95% Intercept 2.340 0.682 3.431 0.002 0.941 3.740 Assets 0.007 0.003 2.156 0.040 0.000 0.014 Sales 0.026 0.012 2.220 0.035 0.002 0.050 8. What is the correlation between the predicted profit and the observed profit? A. .003 B. .012 C. .394 D. .628 9. What is predicted profit when assets = 30 and sales = 40. A. 1.3 B. 2.3 C. 3.6 D. 4.2 10. The observed profit is likely to differ plus or minus (how much) from the predicted profit? A. .394 B. 2.450 C. 2.340 D. 4.90