Linear Regression and Residuals

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

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

Use Desmos to generate the linear regression model for this data set. What is the residual for the point (31, 560)? (round to nearest hundredth)

• 2.48

• -15.79

• -7.52

• 12.87

Use Desmos to generate the linear regression model for this data set. Use the model to predict the number of calories for an item with 45 grams of fat. Round to the nearest whole number.

• 663

• 722

• 807

• 792

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

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

Use Desmos to generate a linear regression model. What is the residual for the point (5, 96)? Round to the nearest hundredth.

• 2.34

• -0.31

• -0.53

• 3.67

Use Desmos to generate a linear regression model. According to this linear model, what test score can a person expect to get if they do not study at all? Round to the nearest whole number.

• 82

• 72

• 74

• 79

Use Desmos to determine the linear regression model for this data set. What is the equation for the best fit line?

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

• 3.24675

• 59.7403

• 0.9995

• 0.9998