Chapter 3: Describing Relationships

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Chapter 3: Describing Relationships
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Chapter 3: Describing Relationships Section 3.1 Scatterplots and Correlation The Practice of Statistics, 4th edition – For AP* STARNES, YATES, MOORE

Chapter 3 Describing Relationships 3.1 Scatterplots and Correlation 3.2 Least-Squares Regression

Section 3.1 Scatterplots and Correlation Learning Targets After this section, you should be able to… IDENTIFY explanatory and response variables CONSTRUCT scatterplots to display relationships INTERPRET scatterplots MEASURE linear association using correlation INTERPRET correlation

Scatterplots and Correlation Explanatory and Response Variables Most statistical studies examine data on more than one variable. In many of these settings, the two variables play different roles. Scatterplots and Correlation Definition: A response variable measures an outcome of a study. An explanatory variable may help explain or influence changes in a response variable. Note: In many studies, the goal is to show that changes in one or more explanatory variables actually cause changes in a response variable. However, other explanatory-response relationships don’t involve direct causation.

Scatterplots and Correlation Explanatory and Response Variables Scatterplots and Correlation

Scatterplots and Correlation Displaying Relationships: Scatterplots The most useful graph for displaying the relationship between two quantitative variables is a scatterplot. Scatterplots and Correlation Definition: A scatterplot shows the relationship between two quantitative variables measured on the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph. How to Make a Scatterplot Decide which variable should go on each axis. Remember, the eXplanatory variable goes on the X-axis! Label and scale your axes. Plot individual data values.

Scatterplots and Correlation Displaying Relationships: Scatterplots Make a scatterplot of the relationship between body weight and pack weight. Since Body weight is our eXplanatory variable, be sure to place it on the X-axis! Scatterplots and Correlation Body weight (lb) 120 187 109 103 131 165 158 116 Backpack weight (lb) 26 30 24 29 35 31 28