SUMMARY OUTPUT Regression Statistics Multiple R 0.99 R Square 0.98 Adjusted R Square 0.98 Standard Error 10.63 Observations 50 ANOVA MS F Significance F 1434.86 0.00 112.90 df Regression Residual 2 323988.26 161994.13 47 5306.24 Total 49 329294.50 Coefficients Standard Error t Stat P-value Intercept ??? 23.04 Price (P) -2.48 Income, $000 (M) 7.03 ??? 0.13 4.82 -3.14 ??? 0.0000 0.0031 0.0000 Lower 95% Upper 95% 64.71 -4.07 6.76 157.41 -0.88 7.3 The figure above provides regression estimation of a demand equation, where quantity (Q) is a function of the product's own price (P) and consumer income (M). Please refer to this figure to answer the questions below. What is the the standard error of the price coefficient (rounded to two decimal places)? A. 7.79 O B. 0.79 C. 1.27 D. There is insufficient information to answer the question. E. None of the above is correct. What is the t-statistic on the income coefficient (rounded to two decimal places)? OA. 0.02 00 B. 54.08 C. There is insufficient information to answer the question. D. 0.91 O E. None of the above is correct.