Regression Review

Write the equation for the linear regression shown.

Tags

CCSS.8.F.A.3

What is the line of best fit?

• f(x)= 5x+1.82

• cannot be determined

• f(x)= 1.82x + 5.02

• f(x)= 1.1x + 4.2

Tags

CCSS.8.EE.B.5

Using your linear regression, what is y when x is 30?

• 61.59
• 52.46
• 57.94
• 59.76

Tags

CCSS.8.EE.C.8C

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 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

Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean?

• There is no correlation between sales and age.

• There is a strong positive correlation between sales and age.

• There is a strong negative correlation between sales and age.

• There is a weak negative correlation between sales and age.

Tags

CCSS.HSS.ID.B.5

Estimate the correlation coefficient for this scatterplot.

• r = 1.2

• r = 0.89

• r = 0

• r = -0.89

Tags

CCSS.HSS.ID.C.8

Which type of regression model does the scatter plot appear to show?

• linear

• exponential

• quadratic

Is the pictured graph growth, decay, or linear or none?  

• Exponential Growth
• Exponential Decay
• Linear
• None

Tags

CCSS.HSF-IF.C.7E

Which of the equations below represent this table?

• y=3⋅(36)^x
• y=36⋅(3)^x
• y=3⋅(⅓)^x
• y=36⋅(⅓)^x

Tags

CCSS.HSF.LE.A.2