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STATISTICS CASE: INTERPRETATION OF MULTIPLE REGRESSION

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STATISTICS CASE: INTERPRETATION OF MULTIPLE REGRESSION

One hypothesis was tested in this case. This hypothesis was as follows: The value of a subject's CFINCONT score (dependent variable) will vary in relation to both a subject's CCOMMUN score (independent variable) and a subject's GENDER (independent variable). The null hypothesis was that variations in a subject's CFINCONT score would be unrelated to either variations in a subject's CCOMMUN score or a subject's GENDER. The rejection criterion for the null was a p<.05 level of probability.

Two primary assumptions were made in relation to this hypothesis test. The first assumption was that a normal distribution characterized the population. The second assumption was that the sample was representative of the population.

. . .
Some common words found in the essay are:
Hypothesis Tested, tested hypothesis, ccommun score, hypothesis tested hypothesis, hypothesis tested, subject's ccommun score, subject's cfincont score, subject's ccommun, cfincont score, independent variable, subject's gender, subject's cfincont, variations subject's,
Approximate Word count = 575
Approximate Pages = 2 (250 words per page)

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