The model's accuracy in predicting the dependent variable is assessed using various evaluation techniques, such as the R-squared value, adjusted R-squared value, and significance of the regression coefficient.
The model's accuracy in predicting the dependent variable is assessed using various evaluation techniques, such as the R-squared value, adjusted R-squared value, and significance of the regression coefficient.