Linear Regression

True or False:

If the residual plot has a pattern then a linear regression model IS appropriate.

• True

• False

Tags

CCSS.HSS.ID.B.6B

How do you find the residual?

• predicted value - actual value

• actual value - predicted value

• what values are you talking about?

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

The correlation coefficient r is a value between

• 0 and 1
• 0 and 100
• -1 and 1
• -2 and 2

Tags

CCSS.HSS.ID.C.8

What type of correlation would the variable have?
The outside temperature and the amount of layers you wear. 

• Positive correlation
• Negative correlation
• No correlation

Tags

CCSS.HSS.ID.B.5

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSF-LE.A.1B

r² = .83 means

• My data is very accurate. We have a 17% uncertainty.
• My data is 17% correct.
• 83% of the variability in y can be explained by x. Only 17% is unexplained.
• My data is very accurate. I have 17% accuracy.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

r²= .24 means

• 76% of the variability in y is unexplained. This is not good.
• My data is 24% correct.
• My data is flawed. I have 24% uncertainty.
• My data is very accurate. I have 76% accuracy.

The equation of the least squares regression line is y (hat) = 1.3 + 0.73x.  What is the residual for the point (4,7)?

• 2.78
• 3.00
• 4.00
• 4.22

Tags

CCSS.8.EE.C.8C

How do you calculate a residual?

• Actual - Predicted
• Predicted - Actual