Linear Regression

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.8.EE.C.8C

Describe the correlation in the graph shown.

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

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

Which example shows CAUSATION? (Which one CAUSED the other to happen?)

• High social media usage and reduced grades.

• Car ran out of gas and being stranded on the side of the road.

• Recess time and number of friends.

• A person's age and what kind of cereal they eat.

Tags

CCSS.HSS.ID.C.9

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data. (use desmos calculator)

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

Describe the correlation in the graph shown.

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

Tags

CCSS.HSF-LE.A.1B

The linear regression equation is y = 61.93x - 1.79.  Identify the slope of the equation.

• Slope = 61.93
• Slope = -1.79
• Slope = (0, -1.79)
• Slope = (0, 61.93)

Tags

CCSS.HSF.LE.B.5

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = -60x+6443

• $4403

• $4673

• $8483

• $6443

Tags

CCSS.HSF.LE.B.5

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.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

Which scatter plot shows no relationship?

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

Tags

CCSS.HSS.ID.B.6