Answer Happy

EARNINGS = beta0 + beta1 * HEIGHT + error where the unit of EARNINGS is dollars per year and the unit of HEIGHT is inches. Answer the following questions: What is the effect of increasing HEIGHT by 10 inches on annual earnings? Earnings change by How much do you predict the annual earnings to be for a man that is 67 inches tall? , Test the one-sided hypothesis that H0: beta1 <= 0 against H1: beta1 > 0. The t-statistic in this case is REJECT) the null hypothesis HO. Is the variable HEIGHT statistically significant at 5%? (type YES or NO) Construct a 90% confidence interval for the slope coefficient of HEIGHT: between Calculate the test statistic for the null hypothesis H0: beta1 <= 0 against the alternative H1: beta1 > 0: t = What is the p-value for the null hypothesis that H0: beta1 <= 0 against the alternative that H1: beta1 > 0? (if the pvalue is smaller than 0.01 type 0.00) dollars per year and for a woman that is 77 inches tall? and and we (type REJECT or DO NOT
SUMMARY OUTPUT Regression Statistics Multiple R 0.08862689 R Square 0.00785473 Adjusted R S 0.00586247 Standard Err 27130.3667 Observations ANOVA Regression Residual Total df 500 SS MS F Significance F 1 2901993320 2901993320 3.94262145 0.04762533 736056798 498 3.6656E+11 499 3.6946E+11 Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 8033.9704 20019.0058 0.40131715 0.68835878 -31298.151 47366.0915 -31298.151 47366.0915 Intercept X Variable 1 592.774006 298.535932 1.98560355 0.04762533 6.22882222 1179.31919 6.22882222 1179.31919