
Linear, Exponential, and Quadratic Regression
Authored by Anthony Clark
Mathematics
9th Grade
CCSS covered

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10 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
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
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
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
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
Which type of regression model does the scatter plot appear to show?
linear
exponential
quadratic
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
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
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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