Regression Statistics Multiple R R-Square 0.971 A Adjusted R-Square B Standard Error 30.462 Observations 51 ANOVA Significance F Regression C 747851.57373925.79 402.989.89E-31 df SS MS F Residual 48 D 927.91 Total 50792391.11 Standard Lower Upper Coefficients t Stat P-Value Error 95% 95% Intercept E 62.13 26.79 1.60E-30 1539.66 1789.51 Price of Roses -6.68 F -1.411.64E-01-16.16 2.81 Disposable Income (M) 9.73 0.34 1.23E-319.04 10.42 Determine the t-statistic of the estimated slope coefficient for disposable income (point G) and whether that estimated slope coefficient is statistically significant at the 5 percent level. 28.62 and statistically significant since the P-value is less than 5 percent 3.31 and statistically significant since the t-statistic is greater than 2 in absolute value 3.31 and statistically insignificant since the P-value is less than 5 percent 0.03 and statistically insignificant since the t-statistic is less than 2 in absolute value

Regression Statistics Multiple R R-Square 0.971 A Adjusted R-Square B Standard Error 30.462 Observations 51 ANOVA Significance F Regression C 747851.57373925.79 402.989.89E-31 df SS MS F Residual 48 D 927.91 Total 50792391.11 Standard Lower Upper Coefficients t Stat P-Value Error 95% 95% Intercept E 62.13 26.79 1.60E-30 1539.66 1789.51 Price of Roses -6.68 F -1.411.64E-01-16.16 2.81 Disposable Income (M) 9.73 0.34 1.23E-319.04 10.42 Determine the t-statistic of the estimated slope coefficient for disposable income (point G) and whether that estimated slope coefficient is statistically significant at the 5 percent level. 28.62 and statistically significant since the P-value is less than 5 percent 3.31 and statistically significant since the t-statistic is greater than 2 in absolute value 3.31 and statistically insignificant since the P-value is less than 5 percent 0.03 and statistically insignificant since the t-statistic is less than 2 in absolute value