Line of Best Fit Linear

What is the equation formula for linear regression (line of best fit)?

• y₁ ~ bx₁ + m

• x_{1 ~} my₁ + b

• x₁ + b ~ my₁

• y₁ ~ mx₁ + b

What is a "line of best fit" 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

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

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

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

• $$y=-0.27x+3.93

Using the data plotted on the scatterplot, which equation most closely describes a line of best fit for the data?

• y = 2x - 4

• y = 2x + 5

• y = x + 6

• y + 3x - 4

A restaurant sells pizza for the prices in the data table. If a pizza has 10 toppings, what would be the price of the pizza?

• $72

• $20

• $27

• $30

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

• y = 0.016x + 0.03

• y = -1.79x + 61.93

• y = 61.93x - 1.79

• y = 0.03x + 0.016

Using the linear regression equation you found in the previous question, what is the y value, if the x value is 7.5? (Round to nearest tenth).

• y = 5.6

• y = 7.5

• y = -7.6

• y = -5.6
  

Using the linear regression equation from the previous problem, if the y value is equal to -1, what is the x value?

• 17

• 17.99

• 18.49

• 19