<ul><li>A linear regression model, model.1a, is constructed to predict wages based on age, gender, education level, marital status, and geographical indicators.</li><li>The model is evaluated using the summary() function, providing statistical information and diagnostic measures.</li><li>The top predictors identified from the analysis are age, female, education level, marital status, metropolitan residence, South, and Midwest.</li><li>Model performance is assessed using the predict() function and calculating the Root Mean Squared Error (RMSE) to measure the deviation between observed and predicted wage values.</li></ul>

Exploring Wage Determinants with Regression Model

Discover more