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Day 9 Ch. 6 & 7 Test 0.5
By Wendy Nosal
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Last updated over 4 years ago
9 questions
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Question 1
1.
Order the following scatterplots from the most negative (strong negative) correlation to the most positive (strong positive).
C, D, B, A
A, C, D, B
D, C, B, A
A, B, C, D
C, D, A, B
Question 2
2.
Which scatterplot shows a
strong association BUT a correlation near 0
?
Question 3
3.
Which of the following are conditions that need to be met in order to calculate a correlation coefficient or a linear regression?
The scatterplot must show a linear association.
The histogram needs to show a roughly symmetric distribution.
The scatterplot cannot show any outliers.
Variables must be quantitative.
The data must come from a random sample.
Question 4
4.
Which of the statements below contains a mistake regarding correlation?
The correlation between tail length and weight of cats is 0.67.
For a sample of packages, the correlation between weight and shipping time was 0.12.
A new car owner keeps track of the mileage displayed on the car’s instrument panel, as well as the actual mileage, calculated by hand. The correlation between actual mileage and displayed mileage is 0.71.
In a sample of court cases, the correlation between the race of the defendant and whether or not the defendant was convicted was –0.44.
Question 5
5.
Explain why the statement you chose contains a mistake regarding correlation.
Think statistically.
What is it?
Question 6
6.
This scatterplot shows the relationship between tons of freight and tons of mail transported at 135 large and medium sized airports.
Describe the association between these variables.
Use form, direction and strength for full credit.
Question 7
7.
This scatterplot shows the relationship between tons of freight and tons of mail transported at 135 large and medium sized airports.
Which point would you remove to strengthen the correlation?
O'Hare
A different point near the middle of the graph.
A point near (0, 0)
Memphis
Question 8
8.
Data was collected to show the relationship between ice cream sales and the number of cases of
sunburn in a small town.
r=0.976
Describe what this means,
use language a 10 year old would understand.
Question 9
9.
What might be a
lurking variable
in the situation above with sunburn cases & ice cream sales?
Explain.