
Regressions and Correlations
Authored by Patricia Lindley
Mathematics
11th - 12th Grade
CCSS covered
Used 7+ times

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15 questions
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1.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Which of the following best describes this correlation?
Positive, Strong
Negative Strong
Positive Weak
Negative Weak
Tags
CCSS.HSF-LE.A.1B
2.
MULTIPLE CHOICE QUESTION
15 mins • 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.
100
730.15
617.5
500
3.
MULTIPLE CHOICE QUESTION
15 mins • 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.
SHOW ANSWER
Tags
CCSS.HSF.LE.B.5
4.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Approximate the correlation of the scatter plot.
r = 0
r = 0.4
r = -0.4
r = 0.7
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
5.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
True or False: The least-squares regression line will always pass throught the ordered-pair (mean of x, mean of y).
True
False
Tags
CCSS.8.EE.B.6
CCSS.8.F.A.3
6.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
True or False: The correlation coefficient (r) is only used for linear regressions.
True
False
Tags
CCSS.HSF-LE.A.1B
7.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
True or False: If the slope of the least square line is positive then the value or r will also be positive.
True
False
Tags
CCSS.8.EE.B.5
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