ㅉW3: Simple + Multiple regression Flashcards

1
Q

Regression assumption

A
  1. Independence of observation
  2. Normal distribution (histogram, P-P plot, shapiro wilk
  3. Homoscedasticity (constant variance)
  4. Linearity
  5. No colinearity (ONLY multiple regression)
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2
Q

Assumptions for homoscedesticity

A
  1. Assumption check via bivariate scatter plot, and residual-vs-fitted plot
    • rvfplot: fanning indicates violated assumption
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3
Q

Assumption for linearity

A
  1. scatter plot (is there any clear non-linear trend)
  2. rvfplot, yline(0) - wants no trend, no picture, no pattern
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4
Q

Normal probability plot (P-P plot) assumption

A
  • Most common non-normal esiduals are snaking around the line
  • Stata syntax: pnorm residvarname
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