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1. How can correlation and regression analysis be used to make strategic decisions in a dynamic competitive business environment filled with risk and uncertainty (Consider the relations, either descriptive or predictive that can be accomplished with correlation regression analysis)?
2. What is the difference between a descriptive model that is developed using multiple regression analysis with time-series data and a model that is considered predictive?
3. How can multiple regression and time-series data be employed in financial forecasting by a company? Research if such forecasting models are being used within your own company, or one with which familiar. Are they (Please provide a 1 or 2-sentence response about what found).
4. How can one avoid misusing time-series analysis and multiple regression analysis within a business setting? If one does not know for certain that the data fits a normal distribution, is there a problem?
5. Why is the use of ranking of data and results of particular use in the study of consumer behavior? Once the ranking is determined, can the ranking and a specific behavior possibly be linked through multiple regression analysis?
Obtain the simple linear regression equation, then analyze the residuals by (a) constructing a histogram
You are considering adding a new food product to your store for resale. Explain how many units of the new product should be purchased for resale.
Construct a frequency distribution and construct a histogram for the following data and use seven intervals, starting with 30-39.
What is the probability of a fatal accident over a lifetime? Explain your reasoning carefully. Hint: Assume independent events. Why might the assumption of independence be violated? Why might a driver be tempted not to use a seat belt "just on thi..
One table has a standard deviation of $50 while the other has a standard deviation of $150. What conclusion can be drawn from the data?
The state highway department is studying traffic patterns on one of the busiest highways in the state. As part of the study, the department needs to estimate the average number of vehicles that pass an intersection each day. A random sample of 64 ..
Consider binomial distribution with 14 identical trials, and probability of success of 0.4.
You calculate the difference in income as (after incentive plan - before incentive plan). You want to test whether income after the incentive plan is different from income before the incentive plan. What are the hypotheses for this test?
Is there evidence that teams with higher total payrolls tend to be more successful? Justify your answer.
Describe the mean difference that is the main effect for the treatment. Describe the mean difference that is the main effect for gender. Is there an interaction between gender and treatment? Explain the answer
To see if his belief is substantiated, conduct the test at a suitable significant level. State the assumptions made. see if his belief is substantiated, conduct the test at a suitable significant level. State the assumptions made.
Determine the probability that none of the calculators will be defective?
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