Copy of MRY Ch 3.5 Scatter Plots (11/7/2023) - Mari Yahner | Library

Instructions

Note:  
Strong correlations have points very close to the line of best fit!  
Weak correlations have points more spread away from the line of best fit!  
No correlation does not have a line of best fit!

1

The scatter plot below shows a relationship between hours worked and money earned. Which relationship best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 1?

1

This scatter plot shows a relationship between age and height. Which best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 3?

1

This scatter plot shows the relationship between the age of a car and its value. Which best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 5?

1

This scatter plot shows a relationship between the outdoor temperature and the number of customers in an ice cream store. Which best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 7?

1

This scatter plot shows a relationship between the TVs purchased and prices. Which best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 9?

1

This scatter plot shows a relationship between the cost of Chevy cars and their gas mileage. Which best describes the relationship between the variables?

1

Which statement best describes the trend shown in the relationship from number 11?

1

Identify the data sets as having a positive, a negative, or no association.

The number of hours a person has driven and the number of miles driven.
The number of siblings a student has and the grade they have in math class.
The age of a car and the value of the car.
The number of weeks an album has been out and the total sales.
The number of years a person went to school and their income.
The number of apps downloaded on your phone and the amount of memory available.
The amount of time spent on your phone and the number of messages sent and received.
The age of a house and the number of people living in the house.

Positive Association
Negative Association
No Association