Transcription of Correlation and Linear Regression - Canada
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Correlation and Linear Regression - Canada
131 LEARNING OBJECTIVES Analyze a scatterplot to identify pos-sible relationships in bivariate data Calculate and interpret a Correlation coeffi cient Compute and interpret a Linear Regression equation Use a Linear Regression equation for prediction Calculate and interpret R-squared Compute and interpret residuals Distinguish between Correlation and causation CONNECTIONS: CHAPTER In Chapter 5 we learned how to display and describe quantitative data, one variable at a time. In this chapter we learn how to display and assess the relationship between two quantitative variables. This is so important a topic that not only does it have a special name, but it will also be revisited later in the text ( Chapter 14 ). Linear Regression is the counterpart to the contingency tables in Chapter 4 . You can think of the three Chapters 4 , 5 , and 6 as a set that cover descriptive statistics for categorical and quantitative data, with one variable or two variables.
134 CHAPTER 6 • Correlation and Linear Regression 6.1 Looking at Scatterplots The value of the Canadian dollar affects Canadians in a multitude of ways—from ...
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