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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?
Alternative C would have fixed costs of $100,000 and variable costs of $15 per unit. Revenue is expected to be $50 per unit. Which alternative has the lowest break-even quantity?
What is the technical definition of alpha? When might a "high level of proof" be required in business? Why does a "high level of proof" mean a small value of alpha?
Also find information about blood donations and the percentage of each type donated. How do the charts compare? Why is the collection of type O blood so important?
On a test with a population mean of 75 and standard deviation equal to 16, if the scores are normally distributed, what percentage of scores fall below a score of 83.8?
A group of items of data have been found to be normally distributed with a mean of 80 and a standard deviation of 6. Please convert 80 to a z-score and show the calculation.
In the past, Judy Holmes's tire dealership sold an average of 1,000 radials each year. In the past two years, 200 and 250, respectively, were sold in fall, 350 and 300 in winter, 150 and 165 in spring, and 300 and 285 in summer.
If random sample of 9 loads is selected for a weight check, determine the probability that mean weight of those loads is more than 40.60 tons.
A professor wants to conduct a study to know whether the grades she gives to her students affect their evaluations of her. She teaches four classes of ten students each.
Assuming that these are a random sample of all publicly traded companies, construct a 95% confidence interval for the overall noncompliance proportion.
Use the F test of ANOVA (assume α = 0.05) to decide whether or not there are any differences in true average lumen outputs between the three brands for this type of light bulb.
A shipment of 150 television sets contains three defective units. If a vending company buys three of the units in the shipment, what is the probability that at least one of the units is defective?
Determine margin of error for confidence interval in (a)?
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