Linear Regression

A restaurant sells pizza for the prices in the data table.  Calculate the linear regression equation of the data.

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

A person travels by car.  They record their miles driven in a data table.  Calculate the linear regression equation of this data.

• y = 61.93x - 1.79

• y = -1.79x + 61.93

• y = 0.016x + 0.03

• y = 0.03x + 0.016

The chart below tracts starting salaries for health care workers since the year 2000. Using linear regression, find the equation of best fit. Round decimals to 3 places.

• y = 839.721x + 27541.812

• y = 27541.812x - 839.721

• y = 27541.812x + 839.721

• y = 839.721x - 27541.812

Find the equation of the line of best fit for the given data

• y = 163.41x+1.49

• y =- 163.41x+ 4.19

• y =- 4.19x+163.41

• y = 4.19x -163.41

Question 15

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Question 5

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What is a best-fit line used for?

• To make predictions

• To make the graph look pretty

• To connect the points

• To make it look like you know what you are doing

Question 32

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Write the linear regression equation for the following data points. Round to the nearest hundredth.

Find the equation of the Line of Best Fit from the data set.

• y = 0.892x - 1.82

• y = 1.82x - 5.02

• y = 0.796x + 5.02

• y = 1.82x + 5.02