You run the second analysis and get the following output. Answer the remaining q

Question

You run the second analysis and get the following output. Answer the remaining questions from your output Model Summary Std. Error of the Estimate 6.35930 Adjusted R Model R square Square 767 588 567 a. Predictors: (constant), FINAL ANOVA Model Sum of Squares df Mean Square FSig Regression 1098.5801 1098.580 27.165000 Residual 768.372 Total 19 40.44:1 1866.952 20 a. Dependent Variable: MIDTERM b. Predictors: (Constant), FINAL Coefficients Unstandardized Standardized Coefficients Coefficients St. Error Beta t Sig Model

Explanation / Answer

Answer to the question is as follows:

12. That should be 12.355+.769*35 = 39.27

13. .767 or 76.7% is percentage of your dependent variable can be predicted by your independent variable

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