**6. The following inventory pattern has been observed in the Zahm Corporation over 12 months:**

** **

**Use both three-month and ﬁve-month moving-average models to forecast the inventory for the next January. Use root-mean-squared error (RMSE) to evaluate these two forecasts.**

**11. a. Plot the data presented in Exercise 7 to examine the possible existence of trend and seasonality in the data.**

** **

** **

**b. Prepare four separate smoothing models to examine the full-service restaurant sales data using the monthly data.**

**1. A simple smoothing model**

**2. Holt’s model**

**3. Winters’ model**

**c. Examine the accuracy of each model by calculating the root-mean-squared error for each during the historical period. Explain carefully what characteristics of the original data led one of these models to minimize the root-mean-squared error.**

**13. The data in the table below are for retail sales in book stores by quarter. **

** **

**a. Plot these data and examine the plot. Does this view of the data suggest a particular smoothing model? Do the data appear to be seasonal? Explain.**

**b. Use a smoothing method to forecast the next four quarters. Plot the actual and forecast values.**

****duplicate Figure 3.13**

**4. The following regression results relate to a study of the salaries of public school teachers in a midwestern city:**

**a. What is the t-ratio for EXP? Does it indicate that experience is a statistically signiﬁcant determinant of salary if a 95 percent conﬁdence level is desired?**

**b. What percentage of the variation in salary is explained by this model?**

**c. Determine the point estimate of salary for a teacher with 20 years of experience.**

**d. What is the approximate 95 percent conﬁdence interval for your point estimate from part (c)?**

** **

**6. Mid-Valley Travel Agency (MVTA) has ofﬁces in 12 cities. The company believes that its monthly airline bookings are related to the mean income in those cities and has collected the following data:**

**a. Develop a linear regression model of monthly airline bookings as a function of income.**

**b. Use the process described in the chapter to evaluate your results.**

**c. Make the point and approximate 95 percent conﬁdence interval estimates of monthly airline bookings for another city in which MVTA is considering opening a branch, given that income in that city is $39,020.**

** **

**9. Carolina Wood Products, Inc., a major manufacturer of household furniture, is interested in predicting expenditures on furniture (FURN) for the entire United States. It has the following data by quarter for 1998 through 2007:**

**a. Prepare a naive forecast for 2008Q1 based on the following model (see Chapter 1):**

**b. Estimate the bivariate linear trend model for the data where TIME 1 for 1998Q1 through TIME 40 for 2007Q4.**

**c. Write a paragraph in which you evaluate this model, with particular emphasis on its usefulness in forecasting.**

**d. Prepare a time-trend forecast of furniture and household equipment expenditures for 2008 based on the model in part (b).**

**e. Suppose that the actual values of FURN for 2008 were as shown in the following table. Calculate the RMSE for both of your forecasts and interpret the results. (For the naive forecast, there will be only one observation, for 2008Q1.)**

**10. Fifteen midwestern and mountain states have united in an effort to promote and forecast tourism. One aspect of their work has been related to the dollar amount spent per year on domestic travel (DTE) in each state. They have the following estimates for disposable personal income per capita (DPI) and DTE:**

**a. From these data estimate a bivariate linear regression equation for domestic travel expenditures (DTE) as a function of disposable income per capita (DPI):**

**Evaluate the statistical signiﬁcance of this model.**

**b. Illinois, a bordering state, has asked that this model be used to forecast DTE for Illinois under the assumption that DPI will be $19,648. Make the appropriate point and approximate 95 percent interval estimates.**

**c. Given that actual DTE turned out to be $7,754 (million), calculate the percentage error in your forecast.**

** **

**11. Collect data on population for your state (http://www.economagic.com may be a good source for these data) over the past 20 years and use a bivariate regression trend line to forecast population for the next ﬁve years. Prepare a time-series plot that shows both actual and forecast values. Do you think the model looks as though it will provide reasonably accurate forecasts for the ﬁve-year horizon? (c4p11)**

** **

**14. The following data are for shoe store sales in the United States in millions of dollars after being seasonally adjusted (SASSS).**

**a. Make a linear trend forecast for SASSS though the ﬁrst seven months of 2007. Given that the actual seasonally adjusted values for 2007 were the following, calculate the RMSE for 2007.**

**b. Reseasonalize the 2007 forecast and the 2007 actual sales using the following seasonal indices:**

**c. Plot the ﬁnal forecast along with the actual sales data. Does the forecast appear reasonable? Explain.**

**d. Why do you think the April, May, August, and December seasonal indices are greater than 1?**

Why Work with Us

Top Quality and Well-Researched Papers

We always make sure that writers follow all your instructions precisely. You can choose your academic level: high school, college/university or professional, and we will assign a writer who has a respective degree.

Professional and Experienced Academic Writers

We have a team of professional writers with experience in academic and business writing. Many are native speakers and able to perform any task for which you need help.

Free Unlimited Revisions

If you think we missed something, send your order for a free revision. You have 10 days to submit the order for review after you have received the final document. You can do this yourself after logging into your personal account or by contacting our support.

Prompt Delivery and 100% Money-Back-Guarantee

All papers are always delivered on time. In case we need more time to master your paper, we may contact you regarding the deadline extension. In case you cannot provide us with more time, a 100% refund is guaranteed.

Original & Confidential

We use several writing tools checks to ensure that all documents you receive are free from plagiarism. Our editors carefully review all quotations in the text. We also promise maximum confidentiality in all of our services.

24/7 Customer Support

Our support agents are available 24 hours a day 7 days a week and committed to providing you with the best customer experience. Get in touch whenever you need any assistance.

Try it now!

How it works?

Follow these simple steps to get your paper done

Place your order

Fill in the order form and provide all details of your assignment.

Proceed with the payment

Choose the payment system that suits you most.

Receive the final file

Once your paper is ready, we will email it to you.

Our Services

No need to work on your paper at night. Sleep tight, we will cover your back. We offer all kinds of writing services.

Essays

No matter what kind of academic paper you need and how urgent you need it, you are welcome to choose your academic level and the type of your paper at an affordable price. We take care of all your paper needs and give a 24/7 customer care support system.

Admissions

Admission Essays & Business Writing Help

An admission essay is an essay or other written statement by a candidate, often a potential student enrolling in a college, university, or graduate school. You can be rest assurred that through our service we will write the best admission essay for you.

Reviews

Editing Support

Our academic writers and editors make the necessary changes to your paper so that it is polished. We also format your document by correctly quoting the sources and creating reference lists in the formats APA, Harvard, MLA, Chicago / Turabian.

Reviews

Revision Support

If you think your paper could be improved, you can request a review. In this case, your paper will be checked by the writer or assigned to an editor. You can use this option as many times as you see fit. This is free because we want you to be completely satisfied with the service offered.