Linear Regression and Line of Best Fit

A restaurant sells pizza for the prices in the data table. Which equation below models this data?

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

Tags

CCSS.8.F.B.4

CCSS.HSF.LE.A.2

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

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSA.CED.A.2

CCSS.HSS.ID.C.7

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

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSF-LE.A.1B

What would be the correlation between study time and test grades?

• positive
• negative
• none
• cannot be determined

Tags

CCSS.HSF-LE.A.1B

What type of correlation best describes the scatter plot shown?

• positive, weak

• positive, strong

• negative, weak

• no correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot.

• r = 2.1

• r = 0.89

• r = .5

• r = -0.89

Tags

CCSS.HSS.ID.C.8

Make a prediction for a resting heart rate after 6 hours of exercise a week.

• 6
• 50
• 55
• 59

Tags

CCSS.HSS.ID.B.6

CCSS.HSA.CED.A.2

CCSS.HSS.ID.C.7

Which scatter plot shows no relationship?

• Graph A
• Graph B
• Graph C
• Graph D

Tags

CCSS.HSS.ID.B.6

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSF-LE.A.1B