Question 1

Which is NOT a formal name or a variation name of Pearson r?&#10;A) Person product-moment correlation coefficient&#10;B) Pearson correlation coefficient&#10;C) Product-moment correlation coefficient&#10;D) r

Accepted Answer

The Pearson r is formally known as the Pearson product-moment correlation coefficient, Pearson correlation coefficient, or product-moment correlation coefficient. The letter "r" is simply the symbol used to represent Pearson's correlation coefficient in statistical formulas, not a formal or variation name of it.

Question 2

What does an r of -1.00 indicate?&#10;A) A perfect inverse relationship&#10;B) A perfect direct relationship&#10;C) The strongest possible direct relationship&#10;D) A complete absence of a relationship

Accepted Answer

An r of -1.00 indicates a perfect inverse relationship, meaning as one variable increases, the other decreases in a perfectly linear manner.

Question 3

What does an r of 0.00 indicate?&#10;A) A perfect inverse relationship&#10;B) A perfect direct relationship&#10;C) The strongest possible direct relationship&#10;D) A complete absence of a relationship

Accepted Answer

An r value of 0.00 indicates that there is no linear relationship between the two variables being compared.

Question 4

What would you expect among the three options listed below in a test reliability coefficient where the same test is administered twice to a group of participants without any change between administrations of the test?

A) A high value r of .75
B) A low value of r of .20
C) A zero correlation

Accepted Answer

A high test-reliability coefficient indicates that the test produces consistent results when administered multiple times under the same conditions, so a value of .75 suggests good reliability.

Question 5

A r of .50 does not yield 50%.

Accepted Answer

A correlation coefficient (r) of .50 does not yield 50% because it represents the strength and direction of a linear relationship between two variables, not a percentage. The square of the correlation coefficient (r^2) indicates the proportion of variance in one variable that is predictable from the other variable.

Question 6

Put the following correlation coefficients in order from the lowest to the highest coefficient.&#10;

Accepted Answer

The answer of Put the following correlation coefficients in order...

Deck 17: Pearson-R