Scatterplot Variables

Jeremiah conducts a survey and finds that as the first variable in his survey decreases, the second variable increases. 
What type of association is there between the two variables?

• Positive Association
• Negative Assocation
• No Association
• There is not enough information to tell.

Which best describes the scatter plot below?

• Negative Association; Linear
• Negative Association; Non-Linear
• Positive Association; Linear
• Positive Association; Non-Linear

How can you determine if the association on a scatter plot is strong or weak?

• By observing how large the y-intercept is.
• By observing how large the slope of the trend line is.
• By observing how closely the points of the scatter plot are located to one another.
• By observing whether or not the scatter plot is linear.

The table below shows the number of pages and the approximate number of words in several books. Use the table to determine the type of association exists between these two variables. 

• Positive Association
• Negative Association
• No Association
• Not enough information to tell

Which is a true statement about the scatter plot data shown in the table?

• As the pages increase, the total words decrease
• As the pages decrease, the total words decrease
• As the pages increase, the total words increase
• Both B and C are TRUE

Choose the correct equation for the trend line shown.

• y= (-1/3)x + 70
• y= (1/3)x - 70
• y= (-10/3)x + 70
• y= (10/3)x - 70

Choose the correct equation for the trend line shown.

• y= (-25/2)x + 250
• y= (1/4)x - 250
• y= (25/2)x + 250
• y= (-1/4)x - 250

Mark and his family moved to the city in 1997. Use the equation to predict how many retail stores there were in 1997.

• 89
• 65
• 11
• 20

Tracy and her family moved to the city in 2003. Use the equation to predict how many retail stores there were in 2003. 

• 173
• 155
• 143
• 36

When Darryl and his family moved to the city, there were 133 retail stores in the city. Use the equation to predict what year Darryl's family moved to the city.

• 2011
• 2005
• 2001
• 1996