We are interested in the relationship between mid-term exam scores and final exam scores. The Final Exam score is the dependent variable and Midterm score is the independent variable. Use the simple...

F C. Total 55 8757.8393 <.0001* parameter="" estimates="" term="" estimate="" std="" error="" t="" ratio="" prob=""> It| Lower 95% Upper 95% Intercept 31.738559 10.26099 Midterm 3.09 0.0031* 11.166522 52.310596 0.61916 0.128514 4.82 <.0001* 0.3615044="" 0.8768157="" "/="">
Extracted text: We are interested in the relationship between mid-term exam scores and final exam scores. The Final Exam score is the dependent variable and Midterm score is the independent variable. Use the simple regression output on below to answer the question below. Use a significance level of 0.05 for all hypothesis tests and intervals. What proportion of the variation in the Final Exam scores is not "explained" by the simple linear relationship with Midterm score? Analysis of Variance Sum of Source DF Squares Mean Square F Ratio Model 1 2632.8012 2632.80 23.2115 Error 54 6125.0381 113.43 Prob > F C. Total 55 8757.8393 <.0001* parameter="" estimates="" term="" estimate="" std="" error="" t="" ratio="" prob=""> It| Lower 95% Upper 95% Intercept 31.738559 10.26099 Midterm 3.09 0.0031* 11.166522 52.310596 0.61916 0.128514 4.82 <.0001* 0.3615044="">