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- 1. Multiple Choice
The scatter plot shows the sizes and annual rents of some office spaces in the downtown area of a city. What would the line of best fit reveal about these data?
There is a strong positive relationship between the cost of rent and the size of the office space.
There is a weak positive relationship between the cost of rent and the size of the office space.
There is a weak negative relationship between the cost of rent and the size of the office space.
There is a strong negative relationship between the cost of rent and the size of the office space.
- 2. Multiple Choice
Johanna measured the height and petal length of all the flowers in her garden. She plotted her results and found that the relationship between the variables suggests a weak positive linear association with 1 outlier.
Which of the following might be the graph Johanna made?
- 3. Multiple Choice
In left to right order (1,2,3,4), which correlation descriptions are in the correct order?
negative, no relationship, positive, positive
negative, positive, no relationship, positive
negative, no relationship, positive, no correlation
negative, positive, positive, no relationship
- 4. Multiple Choice
Which scenario would most likely show a negative association between the variables?
time spent reading a book, x, and the number of pages left to read, y
miles traveled in a car, x, and the amount of gasoline used, y
the number of people in the mall, x, and the number of cars in a parking lot, y
the height of a tree, x, and the amount of time it takes to climb to the top of the tree, y
- 5. Multiple Choice
A scatter plot describing bivariate data is drawn.
Identify the outlier(s) if any are present in the scatter plot. Mark all that apply.
(13,8)
(2,6)
(1,11)
(10,1)
There are no outliers.
- 6. Multiple Choice
In the following scenarios, which of these would represent negative relationship between the two variables? Choose all that apply.
The number of pets a person has and the number of books they read.
Hours spent in the mall and the amount of money you have when you leave.
Temperature outside and the number of people wearing jackets.
Hours worked and the amount of money earned.
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