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ASK Vol 5. (7/12 Paints] This exercise refers to the following Minitao output, relating y = son's height to x = father's height for a sample on = 76 college males. The regression equation is Height = 30.0 + 0.576 dadheight 76 cases used 3 Eases curltain missing values 000 5 2.557, R-Sq 44.7% Predicted Values [for dad's heights of 65, 70, and 74] 70 79 m (69.645, 70.913) (64.946, 75.612) (a) What is the equation for the regression line? (Round all answers to the nearest thousandth.) 0: 30.0000 x + .576 ., x (b) identify the value or the t-statistic for testing whether or not the slope is 0. Verify that the value is correct using the formula for the t-statistic and the information provided by Minltah for the parts that go into the formula. (Round the answer to two decimal places.) 7.73 v (c) State and test the hypotheses about whether or not the population slope is 0. Use relevant information provided in the output. Complete the following sentenoe, Ho: 51 = v v u v Ha: 31 t v v 0 ., The p value given ls 0.000 (associated with t = 7.73) so we can v reject the null hypotheses and conclude that the relationship Is statistically significant. (d) Compute a 95% condence interval forl, the slope of the relationship in the population (Round the answerto three decimal piaoes.) 71.595 x to 73.555 x (e) Complete a sentence that interprets this interval. Forthe population of male college students, we can say with 95% condence that for each 1-inch increase in father's height the mean increase in son's height is between and i | inches. You may need to use the appropriate taole in the Appendix ofTaoles to answer this question. Need Help