A least squares regression line
A) can be used to predict a value of y if the corresponding x value is given.
B) implies a cause-and-effect relationship between x and y.
C) can only be determined if a good linear relationship exists between x and y.
D) ensures that the predictions of y outside the range of the values of x are valid.

Question

Quizplus · Accepted Answer

A least squares regression line is a method to find the line that best fits the given data. This line can be used to predict a value of y for any given x value within the range of the data. However, it does not imply any cause-and-effect relationship between x and y. The good linear relationship between x and y is necessary for the method to work accurately, but the validity of predictions outside the range of x values cannot be guaranteed.

A Least Squares Regression Line