Basic Business Statistics, Student Value Edition
14th Edition
ISBN: 9780134685113
Author: Mark L. Berenson, David M. Levine, David F. Stephan, Kathryn Szabat
Publisher: PEARSON
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Chapter 16, Problem 14PS
a.
To determine
Plot the time series.
b.
To determine
Compute the linear trend forecasting equation and plot of the trend line.
c.
To determine
Determine the forecasted values of the federal receipts for the years 2017 and 2018.
d.
To determine
Determine the conclusion about the trend in federal receipts.
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Students have asked these similar questions
What do the Forecast for each year add up to?
In Colorado, sales of medical marijuana began in November 2012; however, the Department of Revenue did not report tax collection data until February of 2014. The accompanying data file includes monthly revenue from medical and retail marijuana tax and fee collections as posted in the Colorado state accounting system. Use the linear trend model (no seasonality) to forecast the tax revenue for November and December of 2018.
Date
Revenue
February/14
3,519,756
March/14
4,092,575
April/14
4,980,992
May/14
5,273,355
June/14
5,715,707
July/14
6,522,085
August/14
7,407,450
September/14
7,741,167
October/14
7,232,870
November/14
7,642,800
December/14
7,465,568
January/15
8,558,141
February/15
8,802,295
March/15
9,099,395
April/15
9,979,643
May/15
10,617,311
June/15
11,326,452
July/15
10,856,584
August/15
12,811,437
September/15
13,181,758
October/15
11,656,736
November/15
11,290,012
December/15
12,231,410
January/16
13,247,434
February/16…
Use the accompanying data table regarding retirement funds. Complete parts (a) through (d) below.
a. Construct a growth and value table that tabulates type, market cap, risk,and rating.
Chapter 16 Solutions
Basic Business Statistics, Student Value Edition
Ch. 16 - If you are using exponential smoothing for...Ch. 16 - Consider a nine-year moving average used to smooth...Ch. 16 - You are using exponential smoothing on an annual...Ch. 16 - Prob. 4PSCh. 16 - Prob. 5PSCh. 16 - How have stocks performed in the past? The...Ch. 16 - Prob. 7PSCh. 16 - Prob. 8PSCh. 16 - Prob. 9PSCh. 16 - Prob. 10PS
Ch. 16 - The linear trend forecasting equation for an...Ch. 16 - There has been much publicity about bounces paid...Ch. 16 - Prob. 13PSCh. 16 - Prob. 14PSCh. 16 - Prob. 15PSCh. 16 - The data shown in the following table and stored...Ch. 16 - Prob. 17PSCh. 16 - Prob. 18PSCh. 16 - Prob. 19PSCh. 16 - Prob. 20PSCh. 16 - Prob. 21PSCh. 16 - Prob. 22PSCh. 16 - You are given an annual time series with 40...Ch. 16 - Prob. 24PSCh. 16 - Prob. 25PSCh. 16 - Prob. 26PSCh. 16 - Prob. 27PSCh. 16 - Prob. 28PSCh. 16 - Prob. 29PSCh. 16 - Using the average baseball salary from 200 through...Ch. 16 - Using the yearly amount of solar power generated...Ch. 16 - The following residuals are from a linear trend...Ch. 16 - Prob. 33PSCh. 16 - Prob. 34PSCh. 16 - Prob. 35PSCh. 16 - Prob. 36PSCh. 16 - Prob. 37PSCh. 16 - Prob. 38PSCh. 16 - Prob. 39PSCh. 16 - Prob. 40PSCh. 16 - In forecasting daily time-series data, how many...Ch. 16 - In forecasting a quarterly time series over the...Ch. 16 - Prob. 43PSCh. 16 - Prob. 44PSCh. 16 - Are gasoline prices higher during the height of...Ch. 16 - Prob. 46PSCh. 16 - Prob. 47PSCh. 16 - The file Silver-Q contains the price in London for...Ch. 16 - Prob. 49PSCh. 16 - What is a time series?Ch. 16 - What are the different components of a time-series...Ch. 16 - What is the difference between moving average and...Ch. 16 - Prob. 53PSCh. 16 - How does the least-squares linear trend...Ch. 16 - How does autoregressive modelling differ from the...Ch. 16 - What are the different approaches to choosing an...Ch. 16 - What is the major difference between using SYX and...Ch. 16 - How does forecasting for monthly or quarterly data...Ch. 16 - Prob. 60PSCh. 16 - The monthly commercial and residential prices for...Ch. 16 - The data stored in McDonalds represent the gross...Ch. 16 - Teachers’ Retirement System of the City of New...Ch. 16 - Prob. 64PS
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- At the end of 2015, the US Bureau of Economics Analysis posted the following data on the U.S disposable personal income by month for the 11 months of the year as indicated in this tablearrow_forwardJohn Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)arrow_forwardc. Predict sales in 15 years.arrow_forward
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