Compute b. You should have found that b = 1.927. Next you will need to compute a. Multiply the mean of RQ1 (MX) by b and subtract the result from the mean final exam score (MY). Compute a. a = MY - bMY = ______. Now use software to find b and a by performing a linear regression in which you use RQ1 to predict final exam (the dependent variable). In most software packages you will find b across from the label "RQ1" under the heading "Unstandardized." The a value will be across from the label "(intercept)." You should find that the software provides the same b and a values you computed abovenamely, b = 1.927 and a = - 30.311. The general regression equation is displayed below. Use the specific values for b and a to create a regression equation that predicts the final exam from RQ1. In other words, substitute the specific values of b and a into the general regression equation and write that specific regression equation below. =bX a, You can now use the equation you created to predict a person's final exam score based on his or her RQ1 score. For example, use the equation