ways to examine model in r

To examine a model in R, you can use the following ways:

1. Summary(): This function provides a summary of the fitted model, including information on coefficients, residuals, and goodness of fit measures.

2. plot(): The plot() function allows you to create diagnostic plots for the model, such as residuals vs. fitted values, Q-Q plots, and leverage plots.

3. ANOVA(): This function performs an analysis of variance for the model, allowing you to test the significance of each term in the model.

4. coef(): The coef() function extracts the coefficients of the model, which can be useful for further analysis or interpretation.

5. predict(): Using the predict() function, you can generate predicted values from the model for new data points or for the existing dataset.

These methods provide valuable insights into the performance and behavior of the model, allowing for thorough examination and interpretation.