AP Stats Chapter 3 Review

Quiz
•
Mathematics
•
12th Grade
•
Hard
Anthony Clark
FREE Resource
15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
An agricultural economist says that the correlation between corn prices and soybean prices is r = 0.7. This means that
when corn prices are above average, soybean prices also tend to be above average.
there is almost no relation between corn prices and soybean prices.
when corn prices are above average, soybean prices tend to be below average.
when soybean prices go up by 1 dollar, corn prices go up by 70 cents.
the economist is confused, because correlation makes no sense in this situation.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If bivariate data set A has correlation r = 0.95, and a second bivariate data set B has correlation r = –0.95, then
a linear model does a better job of describing the relationship between the variables in data set A than in data set B.
a linear model does a better job of describing the relationship between the variables in data set B than in data set A.
a linear model is the best description of the relationship between the variables in both data set A and data set B.
you can’t tell whether either data set is best described by a linear model until you examine the scatterplots.
a mistake has been made—r cannot be negative.
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A copy machine dealer has data on the number of copy machines x at each of 89 customer locations and the number of service calls in a month y at each location. Summary calculations give x̅= 8.4, sx= 2.1, y̅= 14.2, sy= 3.8, and r = 0.86. What is the slope of the least-squares regression line of number of service calls on number of copiers?
0.86
1.56
0.48
2.82
cannot tell from the information given
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Suppose we fit a least-squares regression line to a set of data. What is true if a plot of the residuals shows a curved pattern?
a straight line is not a good model for the data
the correlation must be 0
the correlation must be positive
outliers must be present
The regression line might or might not be a good model for the data, depending on the extent of the curve.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The table shown is comparing a person's foot length to their height in cm. Calculate the regression equation
yhat = 25.05x + 5.57
yhat = 5.57x + 25.05
yhat = -5.57x + 25.05
yhat = 5.57x - 25.05
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The point in the upper right hand corner of the scatterplot is
not an outlier or an influential point
not an outlier but an influential point
an outlier and an influential point
an outlier but not an influential point
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Write the linear regression equation for the data set foot length (x) and height (y).
yhat = 28.93 + 1.155x
height = 28.39(foot length) + 1.155
yhat = 1.878 + 117.99x
height = 117.99 + 1.878(foot length)
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