• The model is a bad fit. Try using a quadratic model
• The model is a bad fit
• The model is a good fit
• Cannot be determined

How do you calculate a residual?

• Observed - Predicted

• Predicted - Observed

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

• YES

• NO

Use the dropdowns to complete the statements about the graph: The strength of the linear relationship is ​ (a)   (strong/weak) because the residual values are relatively ​ (b)   (small/large) . The residuals on the graph ​ (c)   (show/do not show) a pattern.

• weak

• strong

• large

• small

• show

• do not show

Question 9

• 1

• 2

• 3

• 4

What is a residual?

• The difference of the y-value of a data point and the corresponding y-value found using the line of fit

• The difference of the x-value of a data point and the corresponding x-value found using the line of fit

• The difference of the y-value of a data point and the corresponding x-value found using the line of fit

• The difference of the x-value of a data point and the corresponding y-value found using the line of fit

Use the dropdowns to complete the statements about the graph: The strength of the linear relationship is ​ (a)   (strong/weak) because the residual values are relatively ​ (b)   (small/large) . The residuals on the graph ​ (c)   (show/do not show) a pattern.

• weak

• strong

• large

• small

• show

• do not show

Question 40

• 1

• 2

• 3

• 4

Shown is a residual plot.
Would a linear regression model be a good fit?

• YES

• NO

• A

• B

• C

• D