The correct answer is: B. Compound linear regression is not equipped to handle more than one predictor.
Simple linear regression is a statistical method that analyzes the relationship between two variables. It is used to predict the value of one variable (the dependent variable) based on the value of another variable (the independent variable).
Compound linear regression is a statistical method that analyzes the relationship between two or more variables. It is used to predict the value of one variable (the dependent variable) based on the values of two or more variables (the independent variables).
Linear regression consists of finding the best-fitting straight line through the points. The best-fitting line is the line that minimizes the sum of the squared distances between the points and the line.
Therefore, compound linear regression is equipped to handle more than one predictor, while simple linear regression is not.