Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Performing Multiple Regression

The video tutorial covers multiple regression analysis using a CSV file. It introduces predictor variables X and Y, explaining their roles in predicting a dependent variable Z. The tutorial demonstrates running the regression model, interpreting results, and exploring model options like beta coefficients. It also covers performing correlation analysis using the PROC R procedure, providing a comprehensive guide to understanding and applying these statistical methods.

What is the new predictor variable added in the multiple regression example?

• W

• X

• Y

• ZED

Which predictor variable showed a statistically significant result in the regression analysis?

• None

• ZED

• Y

• X

What percentage of variability is accounted for by the model according to the R-squared value?

• 50%

• 70%

• 60%

• 80%

What is another name for standardized estimates in regression analysis?

• Beta coefficients

• Delta coefficients

• Alpha coefficients

• Gamma coefficients

Which procedure is used to perform correlation analysis in the video?

• proc A

• proc B

• proc C

• proc R