when interpreting the intercept doesn't make sense.

every time a regression is performed.

at step 5 in performing a regression.

only when the IVs are categorical.

The conditional variance (SD) of a predicted score is calculated by...

Square root of (sum squares residual/degrees of freedom residual)

Square root of sums of squares model

Square root of sums of squares residual

Square root of mean of squares model

Square root of (sum squares model/degrees of freedom model)

Test

Regression

Daniel Whiting 5 preguntas

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1Centering is used...
1. Awhen interpreting the intercept doesn't make sense.
2. Bevery time a regression is performed.
3. Cat step 5 in performing a regression.
4. Donly when the IVs are categorical.
2The conditional variance (SD) of a predicted score is calculated by...
1. ASquare root of sums of squares model
2. BSquare root of sums of squares residual
3. CSquare root of mean of squares model
4. DSquare root of (sum squares residual/degrees of freedom residual)
5. ESquare root of (sum squares model/degrees of freedom model)
3An accurate conditional variance depends on which assumption of regression being met?
1. ANormality of residuals
2. BHomoscedacity
3. CLinearity
4. DIndependence
5. EHeteroscedacity
4What is the minimum amount of participants we would want for a regression with 7 predictors for it to be a robust model?
1. A35
2. B70
3. C7
4. D49
5. E14
5Which of the following are cause for concern of collinearity?
1. AVIF = 18
2. BVIF = 9
3. CVIF = 0.01
4. DTOL = 1
5. ETOL = 0.01
6. FTOL = 41
7. GShapiro wilk p = 0.041

Descripción: Undergradutate Stats 3 Test sobre Regression, creado por Daniel Whiting el 09/03/2018.
Autor: Daniel Whiting
Idioma: English
Visitas: 36
Etiquetas: stats 3 undergradutate
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