About this document
Linear Regression Model Evaluation by hanif38233 is a document available to read on EtoBox.
The evaluation of the linear regression model, Predicted Score=8.3×Study Hours+46.8, shows a Mean Squared Error (MSE) of 5.82, indicating a good fit to the actual data. The Root Mean Squared Error (RMSE) is approximately 2.41, suggesting predictions are close to actual scores, while an R-squared value of about 0.9595 indicates that 95.95% of the variance in exam scores is explained by study hours. Overall, these metrics confirm that the model provides a strong linear relationship with the data.
- Author
- hanif38233
- Language
- EN