A random sample of 30 executives from companies with assets over 1 million was

# A random sample of 30 executives from companies with

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Question 9.Question :A random sample of 30 executives from companies with assets over\$1 million was selected and asked for their annual income and levelof education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 243.7. The following table summarized the results:Based on the comparison between the mean annual incomes for executives with undergraduate and master's degrees or more ________________. Student Answer:A confidence interval shows that the mean annual incomes are not significantly different. The ANOVA results show that the mean annual incomes are significantly different. A confidence interval shows that the mean annual incomes are significantly different. The ANOVA results show that the mean annual incomes are not significantly different. Instructor Explanation:We use the formula . The interval is [-11.37, 15.37]. Because 0 is in thisinterval, we conclude there is no difference in the pair of means.
Points Received: 0 of 1 Comments: Question 10.Question :Several employees have submitted different methods of assembling a subassembly. Sample data for each method are:How many treatments are there? Points Received: 1 of 1 Comments: Question 11.Question :The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income.Which independent variable has the strongest association with the dependent variable?
Points Received: 1 of 1 Comments: Question 12.Question :In multiple regression analysis, how is the degree of association between a set of independent variables and a dependent variable measured? Points Received: 1 of 1 Comments: Question 13.Question :In the general multiple regression equation, which of the following variables represents the Y-intercept? Student Answer:b1X1
Ŷ a Instructor Explanation:The variable "a" represents the Y-intercept. Points Received: 1 of 1 Comments: