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A regression analysis of data from some of our statistics classes yielded the following regression equation for the independent variable, hours studied, and the dependent variable, grade point average (GPA): Y^ = 2.96 + 0.02(X).
a. If you plan to study 8 hours per week, what would you predict for your GPA?
b. If you plan to study 10 hours per week, what would you predict for your GPA?
c. If you plan to study 11 hours per week, what would you predict for your GPA?
d. Create a graph and draw the regression line based on these three pairs of scores.
e. Do some algebra, and determine the number of hours you'd have to study to have a predicted GPA of the maximum possible, 4.0. Why is it misleading to make predictions for anyone who plans to study this many hours (or more)?+
The probability worker to be is hardworking is 0.55 and 0.45 under-performing. Find the probability of getting at least an under-performing in an office with 4 workers.
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Analyze the above output to determine the multiple regression equation. Find and interpret the multiple index of determination (R-Sq). Perform the multiple regression t-tests on?ˆ1,?ˆ2 (use two tailed test with (a = .10). Interpret your results
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Probability of default for each contract a-f in any given year = 2.50%. Once there is a default, the cash flows cease and there is no ability to recover future cash flows. Defaults are not correlated.
What is the probability that the student is both a sophomore and a history major?
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A football team has a probability of .75 of winning when playing any of the other four teams in its conference. If the games are independent, what is the probability the team wins all its conference games?
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