Chapter 16
Correlation and Simple Linear Regression Analysis
Learning Objectives
Upon completion of this chapter, you will be able to:
- Use the simple linear regression equation
- Understand the concept of measures of variation, coefficient of determination, and standard error of the estimate
- Understand and use residual analysis for testing the assumptions of regression
- Measure autocorrelation by using the Durbin–Watson statistic
- Understand statistical inference about slope, correlation coefficient of the regression model, and testing the overall model
Statistics in Action: Tata Steel
Tata Steel, established in 1907, is the world’s sixth-largest steel company with an existing annual crude steel capacity of 30 million tonnes. It is Asia’s ...
Get Marketing Research now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.