Pearson eText for Basic Business Statistics -- Instant Access (Pearson+)
14th Edition
ISBN: 9780137400119
Author: MARK BERENSON, David Levine
Publisher: PEARSON+
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Chapter 16, Problem 64PS
To determine
Find a forecasting model for the exchange rate of three currencies and forecast values for 2017 and 2018.
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Cryptocurrencies have rapidly become an important alternative to traditional currencies for many types of transactions. Etherium, one of the most prominent cryptocurrencies, has rapidly appreciated in value. Daily Etherium trading information for the first 332 days of 2021.
It includes the following variables:
Date
Day – Day of the year, used to assess trend over time
Volume (US $) – Daily trading volume
Opening Price (US $) – Opening price for daily trading
Price Change (US $) – Daily change in price from opening to close
1. Determine the sample correlation coefficient, r, between Volume and Price Change. Test the alternative hypothesis that Volume has a linear relationship to Price Change. Specifically, what are the test statistic and the p-value for that test statistic? For α = .05, what do you conclude about the relationship between the variables? (reminder: the T.DIST.2T function requires input of a positive test statistic)
What is the balance point? if the trend continues what will be the population in 2025
Suppose admission to a movie cost $7.50 in 2005. What
was its price in 1979 dollars? Assume that all prices have
risen at the same rate as the CPI.
The price was about $ in 1979.
(Round to the nearest cent.)
Average Annual Consumer Price Index (CPI) (1982-
1984=100)
Year
CPI Year CPI
Year CPI
1976 56.9
1989 124.0
2001 177.1
1977 60.6 1990 130.7
2002
179.9
2003
184.0
1978 65.2 1991 136.2
1992
1979
72.6
140.3
2004
188.9
1980
82.4
1993 144.5
2005
90.9 1994 148.2 2006
2007
1981
1982 96.5
1983 99.6
1984 103.9
1985 107.6
1995 152.4
1996 156.9
2008
1997 160.5
2009
1998 163.0
2010
1986 109.6 1999 166.6
2011
1987
113.6 2000 172.2
2012
1988
118.3
195.3
201.6
207.3
215.3
214.5
218.1
224.9
229.6
Chapter 16 Solutions
Pearson eText for Basic Business Statistics -- Instant Access (Pearson+)
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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- In May, about 451 thousand existing homes were sold in the U.S., and sales were decreasingby 3.4% per month.(a) Create a model for this situation. (Recall that you should define the independent anddependent variables and their units, as well as provide an equation.)(b) If this trend continues, how many existing homes will be sold in the U.S. in October?(Round to the nearest thousand homes.)arrow_forwardA. discuss the time period(s) when the sales trend is increasing, B. and when it is decreasing. C. Also indicate any periods where the trend stayed constant (that is, it did not change).arrow_forwardThe Pennsylvania State University had enrollments of 40,571 students in 2000 and 41,289 students in 2004 at its main campus in University Park, Pennsylvania. Assuming the enrollment growth is linear, predict the enrollments in 2008 and 2010.arrow_forward
- What do the Forecast for each year add up to?arrow_forwardNominal income refers to an income value that is not adjusted for inflation. Real income adjusts the nominal value for the rate of inflation. Real income per capita is considered a good measure of the buying power of an individual in a particular area because it adjusts for both the number of people in the area and the relative inflation of the area. According to Forbes magazine, the state with the highest annual real income per capita in 2020 is Connecticut with a real per capita income of $68,533. Suppose that the annual real income of individuals in Connecticut follows a normal distribution with a mean of $68,533 and standard deviation of $23,480. (a) What is the probability that an individual in Connecticut has an annual real income of $54,000 or more? (Round your answer to four decimal places.) (b) What is the probability that an individual in Connecticut has an annual real income of $29,000 or less? (Round your answer to four decimal places.) (c) What is the probability…arrow_forwardThe average annual cost (tuition, fees, and room and board) at four-year private universities rose from $6,566 in 1980 to $29,188 in 2004. Calculate the percentage rise in cost from 1980 to 2004, and compare it to the overall rate of inflation as measured by the Consumer Price Index. The Consumer Price Index for 1980 is 85.4 and the Consumer Price index for 2004 is 188.6. The percentage rise in cost from 1980 to 2004 is %. (Round to the nearest tenth as needed.) Carrow_forward
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