Variable Table A r Midterm Exam Grade .55 Assignment Grades .53 Years at UT Arlington -.49 Engagement .49 Discussion Participation .38 Cumulative GPA .33 Late Submissions -.25 Let's further assume that as we entered each of these variables into the analysis, the Multiple R value obtained was determined to be the values in the right column. Variable Table B r R Midterm Exam Grade .55 .303 Assignment Grades .53 .357 Years at UT Arlington -.49 .401 Engagement .49 .425 Discussion Participation .38 .451 Cumulative GPA .33 .465 Late Submissions -.25 .467. Use your responses to Step A to reduce the list of Table B variables for this question. So, if you removed Midterm Exam Grade in Step A, it should not be included in Step B. In order to select a subset of predictor variables that provide the most useful understanding of the factors influencing the dependent variable, we must consider the increase in cumulative variance explained (R) when we add the variable. In this case, assume that you set a minimum increase of 3% in explained variance for a variable to be included. What variables would remain in the mix if we applied this rule