Regression Review

Match each correlation coefficient, r, to its description:

• r = 0.28

• Strong Positive

• r = -0.41

• Weak Positive

• r = 0.89

• No Correlation

• r = -0.92

• Weak Negative

• r = 0

• Strong Negative

Tags

CCSS.HSS.ID.B.5

Categorize each scenario.

Groups:

(a) Positive Correlation

,

(b) Negative Correlation

,

(c) No Correlation

• Temperature vs Skiing Equipment Sales

• Number of Pets vs Height

• Amount of Time Spent Working vs Amoung of Free Time

• Time studied vs GPA

• Books read vs Height

• Number of Payments Made on a Loan vs Amoung Still Owed

• GPA vs Number of Siblings

• Yearly Salary vs Taxes Owed

• Temperature vs Ice Cream Sales

Tags

CCSS.HSF-LE.A.1B

Reorder the following graphs so their correlations go from WEAKEST to STRONGEST.

• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.5

The prediction equation below gives the distance, y, a squirrel is from its home after scavenging for x number of hours: ŷ = 6.3x + 48.9

Use this equation to predict the distance a squirrel is from its home after 4.5 hours of scavenging.

Mathematical Equivalence

ON

Calculate the residual for the point (5, 76) from a set of data with the following prediction equation:

ŷ = 6.3x + 48.9

Mathematical Equivalence

ON

Tags

CCSS.8.EE.C.8C