AnswersFL-1200315-Algebra 1 CRIntroduction to Modeling with Functions

Strength of Correlation Answers

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Which describes the correlation shown?

A
weak positive
B
moderate positive
C
strong positive
D
perfect positive
3

Whose data had the strongest correlation?

A
Student A
B
Student B
C
Student C
D
Student D
5

Claudia records the hours she spent studying and her test scores for 5 tests.

Answers:
Selection 1:0.85
Selection 2:strong positive correlation
6

Claudia records the hours she spent studying and her test scores for 5 tests.

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
7

strong negative correlationmoderate negative correlation✔ strong positive correlationmoderate positive correlation

A
strong negative correlation
B
moderate negative correlation
C
✔ strong positive correlation
D
moderate positive correlation
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

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
10

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
11

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

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