Performing multiple regression involves several steps:
Data Collection: Gather data on the dependent variable and all independent variables of interest. Model Specification: Define the regression model, specifying which variables to include. Estimation: Use statistical software to estimate the coefficients of the regression model. Model Diagnostics: Check for the assumptions of multiple regression, such as linearity, homoscedasticity, and multicollinearity. Interpretation: Interpret the results, focusing on the coefficients, p-values, and confidence intervals.
