AP Stats Chapter 3 Vocabulary

Correlation Coefficient

r

Coefficient of Determination

r²

Standard Deviation of Residuals

s

Y-Intercept

a

Slope

b

Gives the direction and

quantifies the strength of the linear association

between two quantitative variables.

Correlation Coefficient

The proportion of variation in the response variable that is explained by the

explanatory variable in the model.

Coefficient of Determination

Calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.

Standard Deviation of Residuals

The value of the dependent variable when x equals zero.

Y-Intercept

Change in the dependent variable divided by the change in the independent variable.

Slope

_____ in regression has a

substantially larger or smaller x-value than the

other observations have.

High-Leverage Point

_____ in regression is any point that, if removed, changes the relationship substantially.

Influential Point

Predicting a response value

using a value for the explanatory variable that is

beyond the interval of x-values used to determine

the regression line

Extrapolation

Shows two numeric values for each observation, one corresponding to the value on the x-axis and one corresponding to the value on the y-axis.

Scatterplot

Model that minimizes

the sum of the squares of the residuals and

contains the point (x̄, ȳ)

LSRL

Causation

Association does not imply____

Influential

points that change the correlation, "b"

y-hat is the _____ value

predicted

y is the ______

actual

LSRL

Also known as the Line of Best Fit

Explanatory

helps influence another variable

Response

measures an outcome

Residual Plot

assesses if the LSRL is appropriate