For the Data Below $$\begin{array} { c c } \mathrm { X } & \mathrm { Y } \\5 & 10 \\3 & 6 \\6 & 7 \\4 & 3 \\2 & 4\end{array}$$

For the data below: $$\begin{array} { c c } \mathrm { X } & \mathrm { Y } \\5 & 10 \\3 & 6 \\6 & 7 \\4 & 3 \\2 & 4\end{array}$$ ​
a. Compute the Pearson correlation.
b. Find the regression equation for predicting Y from X.
c. Calculate the predicted Y for each X value, find each residual (Y - ), square each residual, and add the squared values to obtain SS_residual