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Linear, Exponential, and Quadratic Regression

Authored by Anthony Clark

Mathematics

9th Grade

CCSS covered

Linear, Exponential, and Quadratic Regression
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

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

2.

MULTIPLE CHOICE QUESTION

1 min • 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

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Which of the following could be a possible line of best fit for the data?

y = -5/2x + 20

y = -x + 19

y = x + 20

y = 2/3x + 15 

Tags

CCSS.8.EE.B.5

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Use the exponential regression to find an equation that fits the​ data, where x is the years since 1990.

y=8.92•1.23x

y=1.23•8.92x

y=8.92+1.23x

y=8.92x+1.23

Tags

CCSS.HSF.LE.A.2

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

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

linear

exponential

quadratic

6.

MULTIPLE CHOICE QUESTION

1 min • 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

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Find the quadratic equation for the relationship of the horizontal distance and the height of the ball.

y= -18x2 + 2.11x + 4.21

y= -.06x2 +1.06x + 7.9

y= -6x2 +1.06x + 79

y= -.12x2 + 2.11x + 4.22

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