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In this problem, we use the CSDATA data set, which is available in 'CSDATA.txt'. We do ne an indicator variable, say HIGPA, to be 1 if the GPA is 3.0 or better and 0 other- wise. Speci cally, we investigate the e ect of gender on the odds of getting a high GPA.
(a).Use gender to predict HIGPA using a logistic regression. Explain the results.
(b). Perform a logistic regression using gender and the two SAT scores to predict HIGPA. Explain the results.
(c).Compare the results of parts (a) and (b) with respect to how gender relates to HIGPA. Summarize your conclusions.
You are interested in testing the distance of two golf balls, Brand A and Brand B. You take a random sample of 100 golfers, each of whom hits Brand A once and Brand B once. Define
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The cornlnunalities h j represent the fraction of the total variance' 'accounted for of variabie j. Ry calculating the communalities we can keep track of how much of-the orig
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for this proportion, use the +-2 rule of thumb to determine the 95 percent confidence interval. when asked if they are satisfied with their financial situation, .29 said "very sat
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