Linear Regression

Describe the correlation in the graph shown.

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

Describe the correlation in the graph shown.

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

The equation of the best-fit line is

y = 1.3 + 0.73x. What is the residual for the point with x = 4 and an observed value of 7?

• 2.78

• 3.00

• 4.00

• 4.22

Tags

CCSS.8.EE.C.8C

How do you calculate a residual?

• Observed - Predicted
• Predicted - Observed
• find r²  in your TI-84
• find r in your Ti-84

The correlation coefficient r is a value between

• 0 and 1
• 0 and 100
• -1 and 1
• -2 and 2

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

A measure of the strength and direction of the relationship between two variables or data sets.

• association 
• correlation
• least squares line
• residual

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

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

A person travels by car.  They record their miles driven in a data table.  Identify the x-variable (input) of the data.

• Time (hours)
• Distance (miles)

Tags

CCSS.6.EE.C.9

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 linear regression equation for the data is  y = 1.5x + 12.  Use the equation to predict the cost of a pizza that has 8 toppings.

• $8

• $12

• $24

• $28

Tags

CCSS.8.EE.C.8C