Recall that a Mach rating score was determined for each in a sample of accounting alumni of a large southwestern university. For one portion of the study, the researcher modeled an accountant's Mach score (y) as a function of age, gender, education, and income. Data on n = 198 accountants yielded the results shown in the table.

a. Conduct a test of overall model utility. Use α = .05.
b. Interpret the coefficient of determination. R2.
c. Is there sufficient evidence (at α = .05) to say that income is a statistically useful predictor of Mach score?
For Information: Refer to the Behavioral Research in Accounting (Jan. 2008) study of Machiavellian traits (e.g., manipulation, cunning, duplicity, deception, and bad faith) in accountants. Exercise 9.8.

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Independent Variable t-value for M = 0 p-value Age (x) Gender (x) Education (x) Income (x) 0.10 -0.55 1.95 0.52 s .10 10 .01 > 10 Overall model: R2-13, F 474 (p-value < .01)