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Straight-line model. D) We can predict SALARY correctly 66% of the time using GM

ID: 3053309 • Letter: S

Question

Straight-line model. D) We can predict SALARY correctly 66% of the time using GMAT in a straight-line model. 4) An article in a journal examined the attitudes of three groups of professionals on the condition of the environment, and quantified their responses on a seven-point scale (1 - no problem to 7 - disaster very likely). The mean scores for the groups are: A: 4.90, B: 4.55, and C: 4.51. Using an experimentalwise error rate of a 05, Tukey's minimum significance for comparing means is 0.29. Use this information to conduct a multiple comparisons of the means. A) There is no significant difference in any of the means B) The highest mean differs significantly from the other two, but there is no significant difference in the other two means. C) All means are significantly different. D) The lowest mean differs significantly from the other two, but there is no significant difference in the other two means. ) Is there a relationship between the raises administrators at State University receive and their performance on the job? A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise (). Consequently, the group considered the straight-line regression model Using the method of least squares, the faculty group obtained the following prediction equation:

Explanation / Answer

Difference between means of A and B=4.90-4.55=0.35>0.29, hence there is significant difference between A and B at 5% level.

Difference between means of A and C=4.90-4.51=0.39>0.29, hence there is significant difference between A and C at 5% level.

Difference between means of B and C=4.55-4.51=0.04<0.29, hence there is no significant difference between B and C at 5% level.

Now mean of A> mean of B> mean of C

Ans. B