To make the line the "best fit" to the data,the method of least squares fits a line to the data to minimize the sum of all the squared
A)residuals.
B)independent variables.
C)variances.
D)dependent variables.

Question

Quizplus · Accepted Answer

The method of least squares aims to minimize the sum of the squared residuals, which are the differences between the observed dependent variable values and the predicted values from the line of best fit. This approach is used to estimate the parameters of a linear regression model and to assess the goodness of fit of the model to the data. The other options (B, C, and D) do not capture the essence of the method of least squares, which is specifically designed to find the line of best fit by minimizing the sum of squared residuals.

To Make the Line the "Best Fit" to the Data,the