Day 9 Ch. 6 & 7 Test 0.5
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Last updated over 4 years ago
9 questions
4
Order the following scatterplots from the most negative (strong negative) correlation to the most positive (strong positive).
Order the following scatterplots from the most negative (strong negative) correlation to the most positive (strong positive).
4
Which scatterplot shows a strong association BUT a correlation near 0?
Which scatterplot shows a strong association BUT a correlation near 0?
4
Which of the following are conditions that need to be met in order to calculate a correlation coefficient or a linear regression?
Which of the following are conditions that need to be met in order to calculate a correlation coefficient or a linear regression?
4
Which of the statements below contains a mistake regarding correlation?
Which of the statements below contains a mistake regarding correlation?
4
Explain why the statement you chose contains a mistake regarding correlation.Think statistically.What is it?
Explain why the statement you chose contains a mistake regarding correlation.
Think statistically.
What is it?
4
This scatterplot shows the relationship between tons of freight and tons of mail transported at 135 large and medium sized airports.
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.
4
This scatterplot shows the relationship between tons of freight and tons of mail transported at 135 large and medium sized airports.
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?
4
Data was collected to show the relationship between ice cream sales and the number of cases ofsunburn in a small town.
r=0.976
Describe what this means, use language a 10 year old would understand.
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.
4
What might be a lurking variable in the situation above with sunburn cases & ice cream sales? Explain.
What might be a lurking variable in the situation above with sunburn cases & ice cream sales?
Explain.