The data in the table shows sales for a certain department store (in billions of dollars).
Find the line of best fit. THEN use that equation to estimate the stores sales in 2018. THEN calculate the correlation coefficient.
[This will have 3 answers! Separate each answer with a semi colon ";"]
1 point
1
Question 2
2.
The data in the table gives the weight, in pounds, and BMI (body mass index) for six people of the same height.
Find the line of best fit. THEN use your equation to find the following: Sam is the same height as the peope in this group. If he has a BMI of 25, estimate his weight. THEN calculate the correlation coefficient.
[This will have 3 answers! Separate each answer with a semi colon ";"]
1 point
1
Question 3
3.
The graph below shows Carter’s weight each week since he started his diet.
Write an equation for the line of best fit. Then estimate Carter’s weight 15 weeks into his diet. THEN calculate the correlation coefficient.
[This will have 3 answers! Separate each answer with a semi colon ";"]
Use this information to anaswer the next few questions.
1 point
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Question 4
4.
Create a scatter plot of the data.
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Question 5
5.
Is there a correlation between the variables? If so, what type?
1 point
1
Question 6
6.
Determine the equation of the line of best fit. Round values to the nearest hundredth.
1 point
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Question 7
7.
What is the slope? What does the slope represent?
1 point
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Question 8
8.
Identify the y-intercept. What does the y-intercept represent?
1 point
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Question 9
9.
Use your model to predict the number of hot apple ciders the café would sell on a day when the high temperature is 92°F. Explain.
Data for tablet computers with 9- to 10-inch screens are shown in the table and scatter plots below.
1 point
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Question 10
10.
Calculate the correlation coefficient for Price and Battery Life.
1 point
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Question 11
11.
Calculate the correlation coefficient for Price and Weight.
1 point
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Question 12
12.
For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to 0 by dragging each into the proper category.
Weight of a car and gas mileage
Size and selling price of a house
Height and weight
Height and number of siblings
Positive Correlation
Negative Correlation
Correlation close to zero
1 point
1
Question 13
13.
Is it possible to tell from the equation of a line of best fit whether there is a positive or negative correlation between two variables? If so, explain how. If not, explain why not.
