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HELP ANOVA TABLE 3) Suppose the Robert K. Smith School of Business at the University of Maryland would like to compare the starting salaries for

HELP ANOVA TABLE
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3) Suppose the Robert K. Smith School of Business at the University of Maryland would like to compare the starting salaries for both men and women who graduated with different majors. A Two-way ANOVA was performed and yielded the following output. Use alpha=0.05 and round to the nearest hundredth for all calculations. a Fill in the blanks b. Interpret the results of the ANOVA procedure Anova: Two-Factor With Replication SUMMARY Finance Marketing Accounting Total Women Count Sum Average Variance 4 173800 46475 1315833.33 5203333.333 4 12 553900 48550 34616666.67 16002651.52 Men 4 Count 4 4 12 195900 169300 187100 552300 Sum Average Variance 18342500 3949166.667 8009166.667 16611136.36 Anova: Two-Factor With Replication SUMMARY Finance Marketing Accounting Total Women Count Sum Average Variance 4 4 12 173800 553900 46475 48550 1315833.335203333.33334616666.67 16002651.52 Men 4 4 12 552300 - 195900 169300 187100 Count Sum Average Variance 18342500 3949166.667 8009166.667 16611136.36 Total Count 8 8 8 Sum 381800 343100 381300 47662.5 Average 47725 42887.5 ANOVA SS df MS F 106666.7 Source of Variation Sample Columns Interaction Within P- F value crit 0.93 4.41 0.02 3.55 0.43 3.55 61607916.67 10612916.67 214310000 Total 358858333.3 4) Considering a Logit and probit regression models, the independent variables are "gre", "epa" and "rank", the dependent variables are "admit", using coefficients in Excel file LogisticRegression", answering the following questions: a) Write down probit and logit models by using coefficients in "LogisticRegression". b) Predicted probability of admit if gre=720, spa=4, rank=2 5) Considering a Logit and probit regression models, the independent variables are "age","salary" and "gender", the dependent variables are "purchased", using coefficients in Excel file "LogisticRegression", answering the following questions: A) Write down probit and logit models by using coefficients in "LogisticRegression". B) Predicted probability of purchased if age=26, gpa=49000, gender=male

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