AP Statistics Two Variable Data Review
Quiz
•
Mathematics
•
12th Grade
•
Practice Problem
•
Hard
Standards-aligned
Anthony Clark
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15 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Measurements on young children in Mumbai, India, found this least-squares line for predicting height (cm) y from arm span (cm) x: y-hat = 6.4 + 0.93x According to the regression line, the predicted height of a child with an arm span of 100 cm is about
106.4 cm
99.4 cm
93 cm
15.7 cm
7.33 cm
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Does the residual plot support the appropriateness of a linear model?
Yes because the residual plot has no apparent pattern
Yes because half the residuals are positive and half are negative
No because points appear to be randomly distributed
No because some points are close to the line when others are not
Yes, because as age increases, the residuals increase
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What can you know from the relative frequency graph?
The same amount of people were in each continent in 2011 (orange)
More people were in Asia in 2012
More people were in North America overall
More people were in North America in 2010
A greater percentage of people were in North America than the other continents in 2010
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Describe the mean and median of this distribution.
Due to the skew, the mean is greater than the median
Due to the skew, the median is greater than the mean
The median is equal to the mean
The mean cannot be estimated from the histogram, but the median can
The median cannot be estimated from the histogram, but the mean can
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation was yˆ =10+0.9x where y is the final-exam score and x is the score on the first test. Carla scored 95 on the first test. What is the predicted value of her score on the final exam?
85.5
90
9
95.5
none of these
Tags
CCSS.HSF.LE.B.5
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation was yˆ =10+0.9x where y is the final-exam score and x is the score on the first test. Bill scored a 90 on the first test and a 93 on the final exam. What is the value of his residual?
–2.0
2.0
3.0
93
none of these
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A set of data describes the relationship between the size of annual salary raises and the performance ratings for employees of a certain company. The least squares regression equation is y-hat= 1400 + 2000x where y is the raise amount (in dollars) and x is the performance rating. Which of the following statements must be true?
For each one-point increase in performance rating, the raise will increase on average by $1400.
The actual relationship between salary raises and performance rating is linear.
The residuals for half the observations in the dataset will be positive.
The correlation between salary raise and performance rating is negative.
If the mean performance rating is 1.2, then the mean raise is $3800.
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