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1)Consider the following partial computer output for a multiple regression model. Predictor Coefficient Standard Deviation Constant 41.225 6.380 X1 1.081 1.353 X2 -18.404 4.547 Analysis of Variance Source DF SS Regression 2 2270.11 Error 26 3585.75 Find Total Sum of Squares, Explained Variation, SSE, MSE, R-Squared, and Test the overall usefulness of the model at 1% level of significance calculating the F-Statistic 2) At a recent meeting of educational researchers comparison were made between the type of college freshmen attend and the numbers who drop out. A random sample of freshmen show the following results: (keep two decimals in calculating expected frequencies) 4Yr public 4Yr private 2Yr public 2Yr private drop out 10 9 15 9 don't drop 26 28 18 27 Use a significance level of .05 and determine if the type of school and the drop out rate are independent. 3) Test H0: mu=42 versus HA: mu is not equal to 42 when Xbar = 42.8, s=1.2 and n=16 at a=.01 and .05. Assume that the population from which the sample is selected is normally distributed. Indicate which test you are performing; show the test statistic and the critical values and mention whether one-tailed or two-tailed
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