Consider the following terms in a linear regression model: slope, correlation coefficient, residual. Match each term to the appropriate description. (i) the number of units y changes for each unit change in x. (ii) a measure of the strength of linear correlation between the x and y variable. (iii) the difference between the predicted y value for a specified x and the value of y paired with x in a data set.