2a. Find the intercept of the linear regression equation using the information below:
Variable X: M = 10, SD = 1.2
Variable Y: M = 23, SD = 3.4
Pearson correlation of variables X and Y = -0.13
Now find the slope of the linear regression equation using the information from part a.
Remember that you will go through the same three steps as in part a, but will also need
to subtract as a final step.
c. Write out the full linear regression equation using the slope and intercept you figured in
parts a and b.
d. Use the linear regression equation to predict the value for Y when X equals 15.
e. Draw the regression line using all three x, y values you calculated. As with earlier
chapters, you are expected to use graphing best practices as we learned in Ch. 3. Title
your axes, and make sure you do not have unequal intervals!