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Using the Cumba database file, develop a model to predict employee salary using employee age, years of experience, and gender. Since gender is nominal, use 0 for male and 1 for female. The Multiple Regression file has already been pre-loaded with the data, so you need only interpret the output. Complete the following tasks:
o State the multiple regression equation.o Interpret the meaning of the slopes in the equation.o Predict the salary for a 40-year-old male employee with 5 years of experience.o At the .05 level of significance, determine whether each explanatory variable makes a significant contribution to the regression model.o Interpret the meaning of the r-squared.o Interpret your findings. What changes would you make to the model, given the results?
Is there evidence of a difference in objection to sharing information among the organizational groupings? (use α = 0.05)
You're given that the forecast for the current period of 70 turned out to be 6 units less than the actual demand. The forecast for the next period is 75.8.
What would you recommend Taylor do to cut back its labor cost? (Illustrate using an ABC plan.)
Pepsi wanted to test to determine if the males preferred Pepsi more than the females. (a) PConduct the appropriate test and describe the results (ick your own alpha value)
You're considering investing in a portfolio of the common stocks of four publicly-traded companies with betas as follows:
The accounting association has 15 members, 10 of which are CPAs. The members are to be selected to study ways to increase membership. What is the probability of all three selected are CPAs?
Find a 95% confidence interval for the mean daily caloric intake. Interpret this interval.
What is the p-value and compute a 95% CI for the difference in means between the two groups?
Test the teachers hypothesis that there is a significant difference between the pre and post tests.
A club has twenty members aged twenty. What are the chances that at least one fourth of them will die before their 65th birthdays?
The Dept. of Labor has reported that 30% of the 2.1 million mathematical and computer scientists in the United States are women. If 3 individuals are randomly selected from this occupational group
What is the purpose of using correlation analysis? How might correlation analysis be used in business decisions or in strategy formulation and implementation?
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