Scatter Plots Correlation Coefficient Residuals

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

After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?

• A

• B

• C

Shown is a residual plot. Would a linear regression model of the data be most appropriate?

• YES

• NO

Shown is a residual plot. How many positive residuals are there?

• 5

• 1

• 3

• 9

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

• Positive, strong
• Positive, weak
• Negative, strong
• Negative weak

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

• Positive, strong
• Positive, weak
• Zero
• Negative, strong

Select all the negative residuals