Relationship Between Two Quantitative Variables

Quiz
•
Mathematics
•
10th - 12th Grade
•
Hard
Barbara White
Used 1+ times
FREE Resource
14 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A study of the effects of television measured how many hours of television each of 125 grade school children watched per week during a school year and their reading scores. The study found that children who watch more television tend to have lower reading scores than children who watch fewer hours of television. The study report says, “Hours of television watched explains 25% of the observed variation in the reading scores of the 25 subjects.” The correlation between hours of TV and reading score must be
r = 0.25
r = -0.25
r = -0.5
r = 0.5
can’t tell from the given information
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If two variables are positively associated, then
Larger values of one variable are associated with larger values of the other.
Larger values of one variable are associated with smaller values of the other.
Smaller values of one variable are associated with larger values of the other.
Smaller values of one variable are associated with larger and smaller values of the other.
There is no pattern I the relationship between the two variables.
3.
MULTIPLE SELECT QUESTION
1 min • 1 pt
The correlation coefficient measures
whether there is a relationship between two variables.
the strength of the relationship between two quantitative variables.
whether or not the scatter plot shows an interesting pattern.
whether a cause and effect relationship exists between the two variables.
the strength of the linear relationship between two quantitative variables.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Consider the scatter plot, which describes the relationship between stopping distance (in feet) and air temperature (in ℃) for a certain 2000-pound car travelling 40 mph. Do these data provide strong evidence that warmer temperatures cause greater stopping distance?
Yes. The strong straight-line association in the plot shows that temperature has a strong effect on stopping distance.
No. r ≠ +1
No. We can’t be sure temperature is responsible for the difference in stopping distances.
No. The plot shows that differences among stopping distances are not large enough to be important.
No. The plot shows that stopping distances go down as temperature increases.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If stopping distance was expressed in yards instead of feet, how would the correlation r between temperatures and stopping distance change?
r would be divided by 12
r would be divided by 3
r would not change
r would be multiplied by 3
r would be multiplied by 12
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If another point were added with an air temperature of 0 ℃ and a stopping distance of 80 feet, the correlation would
decrease, since this new point is an outlier that does not follow the pattern of the data.
increases, since this new point is an outlier that does not follow the pattern of the data.
stay nearly the same, since correlation is resistant to outliers
increase, since there would be more data points.
whether this data point causes an increase or decrease cannot be determined without recalculating the correlation.
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A study is conducted to determine if one can predict the yield of a crop based on the amount of fertilizer applied to the soil. The response variable in this study is
yield of the crop.
amount of fertilizer applied to the soil.
the experimenter.
amount of rainfall.
the soil.
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