Residual Plots

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

• A
• B
• C

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

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

• YES
• NO

Which residual plot shows that a linear regression model would be most appropriate?

• a
• b
• c

Tags

CCSS.HSS.ID.B.6

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

• YES
• NO

Tags

CCSS.HSS.ID.B.6

Which equation do you use to calculate the residual?

• predicted - observed

• run / rise

• observed - predicted

which value of x has the greatest residual?

• 5

• 2

• 1

• 3

Tags

CCSS.HSS.ID.B.6

The following residual plot was generated for a linear model. What can we conclude?

• This data follows a linear fit.

• This data follows a nonlinear fit.

• Not enough info

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.A.3

This residual plot was generated using an exponential regression model. What can we conclude?

• The exponential model is the best fit

• A linear model would be the best fit

• A quadratic model would be the best fit

Tags

CCSS.HSF.IF.B.4

CCSS.HSF.IF.C.7

CCSS.HSF.LE.A.1

The correlation coefficient r is a value between

• 0 and 1
• 0 and 100
• -1 and 1
• -2 and 2

Tags

CCSS.HSF-LE.A.1B

The equation of the least squares regression line is y (hat) = 1.3 + 0.73x.  What is the residual for the point (4,7)?

• 2.78
• 3.00
• 4.00
• 4.22

Tags

CCSS.8.EE.C.8C