Equation of Line Using 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 number of newly reported crime cases in a county in New York State is shown in the accompanying table, where x represents the number of years since 1994, and y represents number of new cases. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, find the projected number of new cases for 2003, rounded to the nearest whole number.

• 974

• 25,101

• 940

• 952

Write the equation for the table given

• y = 1/3x

• y = 3x

• y = 1/2x

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

• y = 4.62x + 149.42

• y = 5.68x + 178.82

• y = 3.89x + 159.16

• y = 4.19x - 163.41

Write the equation for the linear regression shown.

Mathematical Equivalence

ON

Use Desmos to create a table and 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

Write the equation for the linear regression shown.

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