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Chapter 3: Exploring Two-Variable Quantitative Data

Horizontales
A(n) _____ is the difference between the actual value of y and the value of y predicted by the regression line.
For a linear association between two quantitative variables, the _____ (r) measures the direction and strength of the association.
Two variables have a _____ association when above-average values of one variable tend to accompany above-average values of the other variable and when below-average values also tend to occur together.
There is _____ between two variables if knowing the value of one variable does not help us predict the value of the other variable.
A(n) _____ variable may help predict or explain changes in a response variable.
A(n) _____ shows the relationship (association) 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 set appears as a point in the graph.
Verticales
A(n) _____ in regression is a point that does not follow the pattern of the data and has a large residual.
Two variables have a _____ association when above-average values of one variable tend to accompany below-average values of the other variable.
A(n) _____ is a scatterplot that displays the residuals on the vertical axis and the explanatory variable on the horizontal axis.
A(n) _____ variable measures an outcome of a study.