Linear Regression and Correlation

Which of the following best describes this correlation?

• Positive, Strong

• Negative Strong

• Positive Weak

• Negative Weak

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

The linear regression equation is

y = 61.93x - 1.79. According to the model, the slope can be interpreted as:

• After 0 hours of driving, they went 61.93 miles.

• They drove at a speed of 61.93 miles per hour.

• They drove 61.93 miles total.

• They drove 61.93 hours total.

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Tags

CCSS.HSS.ID.C.7

Approximate the correlation of the scatter plot.

• r = 0

• r = 0.4

• r = -0.4

• r = 0.7

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which of the following variables is used to represent the correlation?

• C

• n

• S_x

• r

Tags

CCSS.HSS.ID.C.8

What is the direction of the scatter plot?

• Positive Association

• Negative Association

• None

• Linear

Tags

CCSS.HSS.ID.B.6

Number of pets a person has and number of books a person has read

• Positive Correlation

• Negative Correlation

• No Correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Amount of Education and Amount of income

• Positive Correlation

• Negative Correlation

• No Correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Number of days absent from school vs. math average

• Positive Correlation

• Negative Correlation

• No Correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

What kind of correlation?

• Positive
• Negative
• No

Tags

CCSS.HSF-LE.A.1B

What kind of correlation?

• Positive
• Negative
• No

Tags

CCSS.HSF-LE.A.1B