Question

Which of the following statements is NOT correct?

a. Sum of squared errors are the errors in the model equation squared and summed up across each data point
b. R-squared is a measure of the model fit for all kinds of models
c. Finding the line of best fit is the process of minimizing the error sum of squares
d. R-squared is equal to 1 minus the sum of squares for error divided by the total sum of squares

Answer 1

R-squared is not a measure of the model fit for all kinds of models.

Step-by-step explanation:

The statement that is NOT correct is option b. R-squared is not a measure of the model fit for all kinds of models. R-squared specifically measures the proportion of the variation in the dependent variable that can be explained by the independent variable(s) in a linear regression model. It ranges from 0 to 1, where a value of 1 indicates a perfect fit.