Chapter 8 Regression Flashcards

1
Q

Tells us the ration of explained vs unexplained variance

A

F

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2
Q

The b-value tells us the _______ of the line and the _________ of the ____________.If it is significant then _________ variable significantly predicts the_________ variable.

A

The b-value tells us the GRADIENT of the line and the STRENGTH of the RELATIONSHIP. IF it is significant then the …PREDICTOR variable significantly predicts the OUTCOME variable.

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3
Q

We use the _______________ ________ to check the correlation matrix for ________________.

A

We use the DESCRIPTIVES STATISTICS to check the correlation matrix for MULTICOLLINEARITY.

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4
Q

predictors that correlate TOO HIGHLY with one another are indicated by r values

A

great than .9

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5
Q

How do we assess the assumption of independent errors

A

Check Durbin Watson

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6
Q

Criteria for the Durbin Watson

A

close to 2 or at least between 1 and 3

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7
Q

When doing a hierarchical regression we assess the improvement of the model at each level by looking at the

A

change in R2 and whether it is significant

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8
Q

The individual contribution of variables to the regression model can be found in the…
For each predictor variable, you can see if it has made a significant contribution to predicting the outcome by looking at the ….

A
  • Coefficients table

- column labelled Sig. (values less than .05 are significant).

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9
Q

what tells you the importance of each predictor in a regression model? What does a big value mean?

A

-standardized beta values
- bigger absolute value = more
important.

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10
Q

To check for multicollinearity, use the ____ _______ from the table labelled _________.
· If these values are less than ____, then there probably isn’t cause for concern.

A
  • To check for multicollinearity, use the VIF VALUES from the table labelled COEFFICIENTS.
  • If these values are less than 10, then there probably isn’t cause for concern.
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11
Q

If you have a VIF value greater than 10 but the average of all VIF values is not substantially greater than ___ there is probably no cause for concern.

A

1

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12
Q

A Cook’s distance greater than ___ indicates it could be influencing the model

A

1

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13
Q
List the things you check to determine if you have outliers or influential cases:
-
-
-
-
-
A
Mahalanobis Distance
Cooks Distance
Average Leverage
DfBeta
Standardized Residuals

Mahalanobis Cooked an average sized beta and made a fairly standard gravy with the residue.

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14
Q

Which graph helps determine homogeneighty of variance? What do we want to see?

A
  • ZPRED ZRESID

- random array of dots

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15
Q

what does it mean if the ZRESID ZPRED looks like a funnel

A

this is probably a

violation of the assumption of homogeneity of variance

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16
Q

what does it mean if the ZRESID ZPRED dots have a pattern

A

this is probably a violation of the assumption of linearity

17
Q

We want histograms to look________ and PP plots to look like _____ _____ to assume normality

A

We want histograms to look NORMAL and PP plots to look like DIAGONAL LINE to assume normality