3-6 Savvas Linear Regression Quiz

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

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

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

• Time (hours)
• Distance (miles)

Tags

CCSS.6.EE.C.9

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

• positive
• negative
• none
• cannot be determined

Tags

CCSS.HSF-LE.A.1B

The linear regression equation for the data is  y = 1.5x + 12.  Interpret the slope of the equation.

• The slope is (0, 1.5).  It means that a pizza with 0 toppings will cost $1.50.
• The slope is 1.5.  It means that it costs $1.50 per topping.
• There are 1.5 toppings.
• There are 1.5 pizzas.

Tags

CCSS.HSF.LE.B.5

What is most likely the correlation coefficient for this data set?

• r = -0.20

• r = -0.70

• r = 0.83

• r = 1.00

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Order the scatterplots from STRONGEST to WEAKEST correlation coefficients

• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Determine the correlation of the points on the scatterplot.

• Positive Correlation

• Negative Correlation

• No Correlation

• Zero Correlation

Tags

CCSS.HSF-LE.A.1B

Determine the correlation of the points on the scatterplot.

• Positive Correlation

• Negative Correlation

• No Correlation

• Zero Correlation

Tags

CCSS.HSF-LE.A.1B