Lecture 5 Flashcards

1
Q

Form of the regression equation

A
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2
Q

Partial regression slopes

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3
Q

Assumptions of Multiple Regression

A
  1. Correct specification of the relation between independent variables and
    dependent variable
  2. Correct specification of the independent variables in the regression
    model
  3. No measurement errors in the independent variables (reliable
    measurements)
  4. Constant variance of residuals (homoscedasticity)
  5. Residuals are independent of each other
  6. Residuals are normally distributed
  7. No outliers
  8. No multicollinearity
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4
Q

Semipartial (‘part’) Correlation

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5
Q

What is the difference between Partial en Part Correlation?

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6
Q

What is the use of Semipartial Correlation?

A
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7
Q

Multicollinearity: What is the problem?

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8
Q

Detection of multicollinearity

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9
Q

Variance Inflation Factor (VIF)

A
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