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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
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 Step by Step Solution
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