Question: Regression
At times we can generate a regression equation to explain outcomes. For example, an employee's salary can often be explained by their pay grade, appraisal rating, education level, etc. What variables might explain or predict an outcome in your department or life? If you generated a regression equation, how would you interpret it and the residuals from it?
REFERENCE
Tanner, D. E., & Youssef-Morgan, C. M. (2013). Statistics for managers
Chapter 8: Correlation
Chapter 9: Simple Regression: Predicting One Variable From Another
Chapter 10: Multiple Regression: Using More Than One Predictor
Chapter 11: Confidence Intervals ?Read Section 11.3: The Confidence Interval of the Prediction only.