AnswersHigh School Math 2 AStrength of Correlation

Strength of Correlation Answers

13 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

Question text not available

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

✔ weakmoderatestrongperfect

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
9

Question text not available

Answer not available
10

Which relationships would most likely be causal? Check all that apply.a positive correlation between time spent exercising and the number of calories burneda negative correlation between temperature and coat salesa positive correlation between time spent practicing free throws and free throw percentagea positive correlation between time spent on the phone with friends and the number of friendsa negative correlation between temperature and the number of speeding tickets

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
11

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:

Because the graph shows a pattern that is an arch shape, Hope can conclude that there is an association between the variables. However, because the relationship is not linear, there is no correlation. The pattern shows that as one variable changes, the other variable changes in the same way. This does not imply that a change in one variable causes the change in the other variable to happen. Hope cannot conclude that there is a causal relationship.

12

an association between variables✔ a causation between variablesthe strength of the relationship

A
an association between variables
B
✔ a causation between variables
C
the strength of the relationship
13

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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