CA Linear Regressions

Which scatter plot shows a linear relationship between x and y?

• Graph A
• Graph B
• Graph C
• Graph D

Tags

CCSS.8.F.A.3

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSS.ID.B.5

The linear regression equation for the data is  y = 1.5x + 12.  Use the equation to predict the cost of a pizza that has 8 toppings.

• $8
• $12
• $24
• $28

Tags

CCSS.8.EE.C.8C

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

Tags

CCSS.HSS.ID.B.6B

Estimate the correlation coefficient.

• r = -0.8
• r = -0.5
• r = 0.5
• r = 0.8

Tags

CCSS.HSS.ID.C.8

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

Tags

CCSS.HSS.ID.B.6B

Use Desmos to generate the linear regression model for this data set. What is the equation?

• $y=11.7313x-193.852$

• $y=11.7313x+193.852$

• $y=11.7313+193.852x$

• $y=193.852x-11.7313$

Tags

CCSS.8.EE.C.8C

Use Desmos to generate the linear regression model for this data set. What is the correlation coefficient, r?

• 0.9499

• 11.7313

• 193.852

• 0.9746

Tags

CCSS.HSS.ID.C.8

Use Desmos to generate a linear regression model. What is the equation?

• $y=3.19403+75.9403$

• $y=3.19403+75.9403x$

• $y=3.91045x+74.1045$

• $y=75.9403-3.19403x$

Tags

CCSS.8.EE.C.8C

Use Desmos to generate a linear regression model. What is the value of the correlation coefficient, r?

• 0.8458

• 0.6918

• 3.19403

• 75.9403

Tags

CCSS.HSS.ID.C.8