Scatterplots and Correlation

The response variable is:

• The variable we expect to explain or predict the value of the explanatory variable.

• Sometimes called the independent variable (IV)

• The variable we expect to change in response to the explanatory variable

• Also known as EV

Tags

CCSS.HSF-LE.A.1B

We wish to investigate the relationship between the number seeds planted in a garden and the number of fruit grown. The explanatory variable (EV) is

• The number of fruit grown

• The amount of soil in the garden

• The number of hours spent watering the plants

• The number of seeds planted

Tags

CCSS.6.EE.C.9

We wish to investigate the relationship between the time spent shopping and the number of items bought. The response variable (RV) is

• The number of items bought

• The number of items at the shop

• The time spent shopping

• The time spent getting to the shops

Tags

CCSS.6.EE.C.9

Which of the following is true?

• We use the response variable to explain changes that might be observed in the explanatory variable.

• The explanatory variable is the variable we expect to be explained by the response variable

• The response variable is also known as the predictor variable

• The explanatory variable is used to explain or predict the value of the response variable

Tags

CCSS.HSS.ID.C.7

We wish to investigate whether a person’s age can be predicted from their IQ score. Which is the explanatory variable (EV)?

• Age

• IQ Score

• Both Age and IQ Score

• None of the Above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.9

Studies have shown that the marks received by a student depend on the amount of hours spent studying. Which is the response variable (RV)?

• Hours spent studying

• Marks

• Both Marks and Hours spent studying

• None of the above

Tags

CCSS.HSF-LE.A.1B

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.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Jules conducted a survey and asked 100 people how many years of education they have and what their annual income is. She 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.HSS.ID.B.6

Label the type of association shown by the scatter plot as positive, negative or none.

• positive

• negative

• none

Tags

CCSS.HSF-LE.A.1B

Is the association a positive or negative association?

• Positive
• Negative

Tags

CCSS.HSF-LE.A.1B