Use the same data as Question 2 to build a 90% confidence interval for the slope of hours studying per week as a predictor of GPA for Oceanography majors. Provide the confidence interval and interpret the confidence interval within the context of the question. Is studying more associated with having a better GPA? In a sample of 49 Oceanography majors, a regression model used to predict GPA based on number of hours spent studying per week produced a slope of b1 = 0.092 with a standard error of SE = 0.044. Use this information to test the hypothesis that there is a positive slope for hours studying per week as a predictor of GPA for Oceanography majors. Use = .05. a. How would you interpret the slope (b1 = 0.092) in the sample? What does it substantively mean in the context of the question? b. What are the null and alternative hypotheses for testing the claim that there is a positive slope for hours studying per week as a predictor of GPA for Oceanography majors? c. Calculate the t-statistic for this test. d. What distribution would you use to find the associated p-value for this t-statistic? Include degrees of freedom if applicable. e. What is the p-value? f. Use the p-value to rule on Ho and interpret the result in the context of the