AnswersHigh School Math 2 AStrength of Correlation

Strength of Correlation Answers

12 verified answers1 views
3

Which describes the correlation shown?

A
weak positive
B
moderate positive
C
strong positive
D
perfect positive
4

Whose data had the strongest correlation?

A
Student A
B
Student B
C
Student C
D
Student D
7

Michael does not have a good argument because the information he used shows apositive correlation, which does not imply.

Answers:
Michael does not have a good argument because the information he used shows apositive correlation, which does not imply.:weak
Michael does not have a good argument because the information he used shows apositive correlation, which does not imply.:a causation between variables
8

What type of relationship has his teacher discovered?

A
positive correlation, likely causal
B
positive correlation, not likely causal
C
negative correlation, likely causal
D
negative correlation, not likely causal
9

Which relationships would most likely be causal? Check all that apply.

A
a positive correlation between time spent exercising and the number of calories burned
B
a negative correlation between temperature and coat sales
C
a positive correlation between time spent practicing free throws and free throw percentage
D
a positive correlation between time spent on the phone with friends and the number of friends
E
a negative correlation between temperature and the number of speeding tickets
10

Hope researches the impact of one variable on another. She graphs the data from her research and sees that the data forms a shape that is similar to an arch. What conclusion can Hope draw from her graph?

Answer:

Hope can conclude that there is an association between the variables because the graph shows a clear pattern. However, because the pattern is a non-linear arch, she can conclude there is no correlation. Finally, she cannot conclude that there is a causal relationship, as association does not imply causation.

12

What did you include in your response? Check all that apply.

A
There is an association between the variables.
B
There is no correlation because the relationship is not linear.
C
It cannot be determined if a change in one variable causes the other.

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