The least squares method is to find out the intercept and th

The least squares method is to find out the intercept and the slope of a regression line that minimizes the sum of the squared differences between

observed values of the independent variable and predicted values of the independent variable

observed values of the independent variable and predicted values of the dependent variable

observed values of the dependent variable and predicted values of the dependent variable

None of the three is correct

Solution

\"The line minimizes the sum of squared differences between observed values (the y values) and predicted values (the values computed from the regression equation).\"

So, The least squares method is to find out the intercept and the slope of a regression line that minimizes the sum of the squared differences between: observed values of the dependent variable and predicted values of the dependent variable