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Linear Regression - Extra Practice

Authored by Chris Wagner

Mathematics

9th - 12th Grade

CCSS covered

Linear Regression - Extra Practice
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What type of correlation best describes the scatterplot shown.

positive, weak

positive, strong

negative, weak

no correlation

Tags

CCSS.HSS.ID.B.5

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What type of correlation best describes the scatter plot shown?

positive, weak

positive, strong

negative, weak

negative, strong

Tags

CCSS.HSS.ID.B.5

3.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

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

linear

exponential

quadratic

4.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

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

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

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

6.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Media Image

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

7.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

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

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