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If more than one predictor is used to predict the criterion at the same time the

ID: 3072221 • Letter: I

Question

If more than one predictor is used to predict the criterion at the same time then?

This does not achieve anything.

This is a multiple regression, and there are ways of determining which predictor is best.

This is a multiple regression, and there are no ways of determining which predictor is best.

d. Predictors will always suffer from heteroscedasticity.

If paired scores (high with high, low with low) occupy the same positions within their distributions, then?

Pearson’s r will be low and negative.

Pearson’s r will be high and positive.

Pearson’s r will be exactly zero.

The standard error will be high.

a.

This does not achieve anything.

b.

This is a multiple regression, and there are ways of determining which predictor is best.

c.

This is a multiple regression, and there are no ways of determining which predictor is best.

.

d. Predictors will always suffer from heteroscedasticity.

If paired scores (high with high, low with low) occupy the same positions within their distributions, then?

a.

Pearson’s r will be low and negative.

b.

Pearson’s r will be high and positive.

c.

Pearson’s r will be exactly zero.

d.

The standard error will be high.

Explanation / Answer

Answer - 1: If more than one predictor is used then this is a multiple regression, and there are ways of determining which predictor is best. Option B is correct.

Answer - 2: Pearson’s r will be high and positive.

Option B is correct.

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