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help please for my exam! I have 45 mins left ANOVA 0'! 88 MS Regression 1 1846097561 1846097561 Residual 7 2953902439 4219860627 Total 8 48

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help please for my exam! I have 45 mins left

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ANOVA 0'! 88 MS Regression 1 1846097561 1846097561 Residual 7 2953902439 4219860627 Total 8 48 Comments Standard Error t Star Intercept 2.32196122 1.88710113 1230432849 x Variable 1 06365853659 03043535558 2091598254 Refer to the Regression output above. What is the point estimate of '61 ? (round answer to 3 decimal places) : D Question 19 3 pts ANOVA SS MS Regression 18.46097561 18.46097561 Residual 7 29.53902439 4.219860627 Total 8 48 Coefficients Standard Error t Stat Intercept 2.32195122 1.88710113 1.230432849 X Variable 1 0.6365853659 0.3043535558 2.091598254 Refer to the Regression output above. What is the standard error of b1 ? (round answer to 3 decimal placesANOVA SS MS Regression 18.46097561 18.46097561 Residual 7 29.53902439 4.219860627 Total 8 48 Coefficients Standard Error t Stat Intercept 2.32195122 1.88710113 1.230432849 X Variable 1 0.6365853659 0.3043535558 2.091598254 Refer to the Regression output above. Find SSR and interpret its meaningD Question 21 5 pts ANOVA SS MS Regression 18.46097561 18.46097561 Residual 7 29.53902439 4.219860627 Total 8 48 Coefficients Standard Error t Stat Intercept 2.32195122 1.88710113 1.230432849 X Variable 1 0.6365853659 0.3043535558 2.091598254 Refer to the Regression output above. Use the model to provide an estimate for mean of Y when X = 18 (round answer to 3 decimal places)ANOVA SS MS Regression 18.46097561 18.46097561 Residual 7 29.53902439 4.219860627 Total 8 48 Coefficients Standard Error t Stat Intercept 2.32195122 1.88710113 1.230432849 X Variable 1 0.6365853659 0.3043535558 2.091598254 Refer to the Regression output above. Assume the following: - variable Y is hours of commute per week - variable X is number of children in the household Answer the following in a few sentences: 1. Provide an interpretation for b1, the estimate for B1. (be specific, what does the number mean?) 2. At a significance level of a = 0.05 , what conclusion can you draw regarding the relationship between hours of commute and number of children in a household

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