Multiple Choice
Identify the
letter of the choice that best completes the statement or answers the question.
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1.
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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 y = 10 + .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?
a. | 95 | b. | 85.5 | c. | 90 | d. | 95.5 | e. | None of the
above |
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2.
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All but one of the following statements contains a
blunder. Which statement is correct?
a. | There is a correlation of 0.54 between the position a
football player plays and their weight. | b. | The correlation
between planting rate and yield of corn was found to be r=0.23. | c. | The correlation between the gas mileage of a car and its weight is r=0.71
MPG. | d. | We found a high correlation (r=1.09) between the height
and age of children. | e. | We found a
correlation of r=–.63 between gender and political party
preference. |
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3.
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In regression, the residuals are which of the
following?
a. | Those factors unexplained by the
data | b. | The difference between the observed responses and the
values predicted by the regression line | c. | Those data points
which were recorded after the formal investigation was completed | d. | Possible models unexplored by the investigator | e. | None of the above |
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4.
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The equation of the least squares regression line
for the points on the scatterplot below is
 = 1.3 + 0.73x. What is the residual for
the point (4,7)?
a. | 2.78 | b. | 3.00 | c. | 4.00 | d. | 4.22 | e. | 7.00 |
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