Average starting salaries for students using a placement service at a university have been steadily increasing. A study of the last four graduating classes indicates the following average salaries: $30,000, $32,000, $34,500, and $36,000 (last graduating class). Using a simple exponential smoothing model with α = 0.25, predict the starting salary for the next graduating class. Assume the initial forecast was $30,000 (the forecast and actual were the

Average starting salaries for students using a placement service at a university have been steadily increasing. A study of the last four graduating classes indicates the following average salaries: $30,000, $32,000, $34,500, and $36,000 (last graduating class). Using a simple exponential smoothing model with α = 0.25, predict the starting salary for the next graduating class. Assume the initial forecast was $30,000 (the forecast and actual were the

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2CYU

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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
United Dairies, Inc., supplies milk to several independent grocers throughout DadeC ounty, Florida. Managers at United Dairies want to develop a forecast of the number ofhalf gallons of milk sold per week. Sales data for the past 12 weeks are: a. Construct a time series plot. What type of pattern exists in the data?b. Use exponential smoothing with a 5 0.4 to develop a forecast of demand for week 13.What is the resulting MSE?
No need to answer everything! Just plot the actual visitors and the forecasts. Compare the accuracy of the forecasts in the 1985 to 1990 period with those subsequent to that period.
For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83. a. Compute for a 3 month moving average forecast. b. Compute for the exponential smoothing forecast for a=0.2. c. Which provides the better forecast using MSE as the measure of model accuracy? d. What is the forecast for next month?
a. Sales of the Flying Flintmobile has been increasing over the past five years. The operations manager has estimated sales in 2017 to be 410 Flving Flintmobiles. Using exponential smoothing with a weight of a = 0.30, develop forecasts for 2017 through 2022. Year Sales Forecast 2016 450 2017 495 2018 518 2019 563 2021 584 2022
6. Average starting salaries for students using a placement service at a university have been steadily increasing. A study of the last four graduating classes indicates the following average salaries: $30,000, $32,000, $34,500, and $36,000 (last graduating class). Predict the starting salary for the next graduating class using a simple exponential smoothing model with a = 0.25. Assume that the initial forecast was $30,000 (so that the forecast and the actual were the same).
The program manager wants to forecast conference attendees. Based on the following historical data, which of the following ranges includes the fifth year's conference enrollment forecast using an exponential smoothing method with alpha=0.3? (Assume F1-A1.) Total Year Enrollment 1 2950 2 2200 3 2000 4 2850 less than 2400 O more than 2500 between 2400 and 2450 O between 2450 and 2500