Patterns of Association

Describe the strength of this scatterplot. 

• Strong

• Moderate

• Weak

• No correlation

The graph shows a line of best fit for data collected on the value of used cards in relation to the number of  years since they were purchased.  What is the equation of the line of best fit?

• y = 750 x + 9500

• y = - 750 x +11000

• y = (3/4) x + 11

• y = - (3/4) x + 11000

Tags

CCSS.HSF.LE.B.5

The graph shows a line of best fit for data collected on the amount of income earned by lawn companies in relation to the number of yards mowed.  What is the equation of the line of best fit?

• y = (3/2) x

• y = 30x

• y = 30x + 300

• y = (3/2)x + 300

Tags

CCSS.HSF.LE.B.5

Which with is the line of best fit?

• Black

• Orange

• Red

• Blue

Tags

CCSS.8.EE.B.5

Describe the relationship between the variables.

• Weak positive correlation

• Weak negative correlation

• Strong positive correlation

• Strong negative correlation

The following scatter plot shows Pam's training as she prepares to run a 6 mile race at the end of the month.  Which of the following would be a reasonable approximation for the length of time it would take for her to run 6 miles? 

• 50 min

• 80 min

• 45 min

• 60 min

Scatter plots can help determine if one variable has an effect on the other, or if there are overall trends, patterns, or ​ (a)   between the variables.

• associations

• bivariate

• numerical

Hector surveyed 500 people and asked them how far they drive to work and what the last digit of their phone number is. He used the results to make a scatter plot. What type of association should he expect to see in the scatter plot?

• Positive Association

• Negative Association

• No Association

Tags

CCSS.HSF-LE.A.1B

What type of association should she expect to see in the scatter plot?

• Positive Association

• Negative Association

• No Association

What does it mean when two variables have a positive association?

• When the variables move in opposites directions, one increases and the other decreases.

• When the first variables has no effect on the second variable

• When the variables move in the same direction. They both increase.