AP Statistics Two Variable Data Review

Describe the correlation in the graph shown.

• Strong Negative

• Strong Positive

• Weak Negative

• Weak Positive

• This residual plot represents a linear fit.
• This residual plot represents a nonlinear fit.
• This residual plot represents no fit.

Residuals are . . . 

• possible models not explored by the researcher

• variation in the response variable that is explained by the model

• the difference between the observed response and the values predicted by the model

• data collected from individuals that is not consistent with the rest of the group

• This residual graph represents a linear fit.
• This graph represents a nonlinear fit.
• This residual graph represents no fit.

If the correlation coefficient is r = 0.3, what type of data is shown?

• Strong positive

• Weak positive

• Strong negative

• Weak negative

The Coefficient of Determination is 

• r squared

• r 

• r times the standard deviation of y over the standard deviation of x

• a + bx

In a scatterplot r is called

• Coefficient of Determination

• Correlation coefficient

• Regression Line

• Slope

When calculating the linear model (which is the equation for the Line of Best Fit for a set of quantitative data) our goal is to...

• Minimize the residuals

• Maximize the residuals

• Ignore the residuals

• What are residuals?

_____________________ is the use of a regression line for prediction outside the interval of x values used to obtain the line.

The ___________________ measures the percent of the variability in the response variable that is accounted for by the least-squares regression line.

• coefficient of determination

• coefficient of relaxation