true

Stat Tutor

true

true

0:42

Correct. This is a correct statement.

Incorrect. This is a correct statement.

2

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1:17

Correct. This is a correct statement.

Incorrect. This is a correct statement.

2

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2:37

Correct. Changing the unit of measure for X or Y does not change “r” because “r” is computed using z-scores which have no unit of measure.

Incorrect. Changing the unit of measure for X or Y does not change “r” because “r” is computed using z-scores which have no unit of measure.

2

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Correct. Changing the unit of measure for X or Y does not change “r” because “r” is computed using z-scores which have no unit of measure.

Incorrect. Changing the unit of measure for X or Y does not change “r” because “r” is computed using z-scores which have no unit of measure.

2

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3:27

Correct. “r” should only be computed when the relationship between X and Y is linear; when the relationship is not linear, “r” is misleading.

Incorrect. “r” should only be computed when the relationship between X and Y is linear; when the relationship is not linear, “r” is misleading.

2

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4:03

Correct. An outlier can either pull *r* closer to +1.0, –1.0 or 0.0 depending on where the outlier is relative to the other data.

Incorrect. An outlier can either pull *r* closer to +1.0, –1.0 or 0.0 depending on where the outlier is relative to the other data.

2

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4:58

Correct. “r” is computed from bivariate quantitative data. You should never compute “r” with categorical data. In this claim, correlation may not have been computed, but rather the term “correlation” is used incorrectly.

Incorrect. “r” is computed from bivariate quantitative data. You should never compute “r” with categorical data. In this claim, correlation may not have been computed, but rather the term “correlation” is used incorrectly.

2

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