Chapter 12

# Chapter 12 - Chapter 12 Bivariate Regression Analysis...

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Chapter 12 1 Chapter 12 Bivariate Regression Analysis

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Chapter 12 2 Looking at relationships between two quantitative variables We create a scatter plot to see if an obvious association, or pattern, exists between the variables. Example: Consider the variables diesel price/gallon and regular unleaded price/ gallon
Chapter 12 3 Figure 12.1 page 490 Figure 12.1 page 490

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Chapter 12 4 As with one variable analyses, after creating a picture of the data we then summarize using numbers. Our objective is to quantify the relationship between the two variables. Relationships can take on many different shapes such as: linear, quadratic, or exponential.
Chapter 12 5 Let’s focus on linear relationships. Why? Linear relationships are very common. They are simple to see. They are simple to model (y=a+bx).

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6 Correlation Correlation is the measure that tells us how strong the linear relationship is between two variables. The correlation also tells us in which
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## This note was uploaded on 10/08/2009 for the course BCOR 2200 taught by Professor Tomnelson during the Spring '08 term at Colorado.

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Chapter 12 - Chapter 12 Bivariate Regression Analysis...

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