Question

In simple linear regression, the method of least squares determines the line that minimizes the sum of squared deviations between the observed y values and: a. the average of the y values b. the average of the x values c. the fitted line d. the line of residual errors

Answer 1

In simple linear regression, the method of least squares determines the line that minimizes the sum of squared deviations between the observed y values and the fitted line.

In a cause and effect relationship, the independent variable is the cause, and the dependent variable is the effect. Least squares linear regression is a method for predicting the value of a dependent variable Y, based on the value of an independent variable X.

The method of least squares estimates the parameters by minimizing the sum of squares of difference between the observations and the line in the scatter diagram.