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- Quiz 12: linear regression and
This module is a quiz containing 10 multiple choice questions covering topics related to linear regression and correlation. This module is part of a set of companion resources to Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.
If there is a linear relationship between the quantity of food a person consumes per day and the person’s weight, the quantity of food a person consumes per day is the ______________.
-
A
independent variable
-
B
Unable to determine
-
C
dependent variable
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A correlation coefficient for 9 pairs of data is calculated to be -0.213. Is the relationship between the variables statistically significant?
-
A
Unable to determine
-
B
No
-
C
Yes
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Consider the following pairs of data (independent variable given first):
- (17, 56)
- (13, 48)
- (35, 65)
- (89, 146)
- (55, 121)
- (86, 130)
Calculate the Least Squares Line.
-
A
y-hat = -20.93 + 0.73x
-
B
y-hat = 33.33 + 1.24x
-
C
y-hat = 1.24 + 33.3x
-
D
y-hat = 0.73 - 20.93x
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A correlation coefficient for 6 pairs of data is calculated to be 0. Then,
-
A
there is positive correlation between the variables.
-
B
the Line of Best Fit has a negative slope.
-
C
there is negative correlation between the variables.
-
D
the Line of Best Fit has a slope of zero.
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A study is done to see if there is a linear relationship between the life expectancy of an individual and the year of birth. The year of birth is the ______________.
-
A
Unable to determine
-
B
dependent variable
-
C
independent variable
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If you determine a point is an outlier, you would
-
A
ignore it.
-
B
always delete it and then recalculate the line of best fit.
-
C
examine it carefully and try to determine what is causing it to be an outlier.
-
D
use it in the calculation of the Sum of Squared Errors.
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Consider the following pairs of data (independent variable given first):
- (17, 56)
- (13, 48)
- (35, 65)
- (89, 146)
- (55, 121)
- (86, 130)
Find the estimated y for an x-value of 40.
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A study is done to see if there is a linear relationship between the calendar year and the population of a particular country. The calendar year is the ______________.
-
A
dependent variable
-
B
Unable to determine
-
C
independent variable
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Consider the following pairs of data (independent variable given first):
- (16, 56)
- (10, 98)
- (35, 105)
- (4, 70)
- (12, 121)
The relationship between the two variables is ______________.
-
A
linear
-
B
not significant
-
C
parabolic
-
D
exponential
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Consider the following pairs of data (independent variable given first):
- (16, 56)
- (10, 98)
- (35, 105)
- (4, 70)
- (12, 121)
The regression line is ______________.
-
A
steeply sloped downward
-
B
almost horizontal
-
C
steeply sloped upward
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Source:
OpenStax, Collaborative statistics: supplemental course materials. OpenStax CNX. Oct 01, 2008 Download for free at http://legacy.cnx.org/content/col10586/1.2
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