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

Tags

CCSS.8.EE.C.8C

The number of complaints a company received at the end of each of six weeks is shown in this table.

Based on the line of best fit, how many complaints should the company expect at the end of week 8?

• 75

• 91

• 96

• 110

Find the equation of the line of best fit for this table.

• y = -0.18x + 6.47
• y = 6.47x - 0.18
• y = 0.04x - 0.19
• y = -0.18x - 0.19

Find the line of best fit

• y = 0.42x - 20

• y = -20x + 0.42

• y = 67x + 8.5

• y = 8.5x + 67

Tags

CCSS.8.EE.C.8C

The table shows the height of a tree for various years after it was planted. Using the line of best fit, how tall would the tree be 30 years after it was planted?

• 22 feet

• 23 feet

• 36 feet

• 37 feet

Tags

CCSS.HSA.CED.A.2

CCSS.HSF.IF.B.4

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

The table shows the height and shoe sizes of several students. Use the line of best fit to predict a student's height if they wear a size 7 shoe.

• 35 inches

• 60 inches

• 17 inches

• 63 inches

Tags

CCSS.HSF-LE.A.1B

The linear regression equation is y = 61.93x - 1.79.  According to the model, the slope can be interpreted as:

• After 0 hours of driving, they went 61.93 miles.
• They drove at a speed of 61.93 miles per hour.
• They drove 61.93 miles total.
• They drove 61.93 hours total.

Tags

CCSS.HSF.LE.B.5

The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.

• 10 miles
• 617.5 miles
• 0.19 miles
• 500 miles

Tags

CCSS.HSF.LE.B.5