Regression 1. Compute the Linear Regression Equation for the following data. Statistic X HS GPA 3.122 Y College GPA 2.482 Sx 0.6915 Sy 1.077 xy 0.413 y= 0.64 32 x + 6.4738 x = 0.265 2y+ 2. 4638 2. Using the above model, tell me the predicted Y value where X=3. 2. 482 + 3. 122 = 11.848 3. Report the upper and lower 95% confidence intervals for the predicted Y value6. If I Increase my alpha-level form 0.01 to .1, which decision error am I less likely to commit and which one am I more likely to commit? And how do you know this. 7. With data from Question 1, compute the 95% confidence internal for the sample mean. 9. If you only have the answer from Question &, how would you know to reject or retain the null hypothesis at alpha .05? at alpha .01