Chapter 3 Wrap-Up
Concept Check
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Section Resources
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3.1 Introduction to Bivariate Data
3.2 Visualizing Bivariate Quantitative Data
Key Terms
Try to define the terms below on your own. Check your response by scrolling over the term, or looking at the end-of-book glossary!
3.1 Introduction to Bivariate Data
3.2 Visualizing Bivariate Quantitative Data
3.3 Measures of Association
3.4 Modeling Linear Relationships
3.5 Cautions about Regression
Extra Practice
Extra practice problems are available at the end of the book (Chapter 3 Extra Practice).
A table in a matrix format that displays the frequency distribution of different variables
Data consisting of two variables, often in search of an association
The dependent variable in an experiment; the value that is measured for change at the end of an experiment
The independent variable in an experiment; the value controlled by researchers
A numerical measure that provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y
A numerical measure of the percentage or proportion of variation in the dependent variable (y) that can be explained by the independent variable (x)
A mathematical model of a linear association
Tells us how the dependent variable (y) changes for every one unit increase in the independent (x) variable, on average
The value of y when x is 0 in a regression equation
The process of predicting outside of the observed x values
An observation that stands out from the rest of the data significantly
Observed data points that do not follow the trend of the rest of the data and have a large influence on the calculation of the regression line
A residual measures the vertical distance between an observation and the predicted point on a regression line
