(b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects inthe data (in $1,000s). Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0otherwise.Ŷ₁ =Based only on the seasonal effects in the data, compute estimates of quarterly sales (in $1,000s) for year 6.quarter 1 forecast$thousandquarter 2 forecastthousandquarter 3 forecastthousandquarter 4 forecastthousand$$$(c) Let t = 1 refer to the observation in Quarter 1 of Year 1; t = 2 to refer to the observation in Quarter 2 of Year 1; ...; andt = 20 refer to the observation in Quarter 4 of Year 5. Using the dummy variables defined in part (b) and t, develop anequation to account for seasonal effects and any linear trend in the time series. (Round your numerical values to one decimalplace.)Ŷ:Based upon the seasonal effects in the data and linear trend, compute estimates of quarterly sales (in $1,000s) for year 6.(Round your answers to the nearest thousand dollars.)quarter 1 forecast$thousandquarter 2 forecast $thousandquarter 3 forecast$thousandquarter 4 forecast$thousand South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although thefirm has been in business only five years, revenue has increased from $308,000 in the first year of operation to $1,084,000 in themost recent year. The following data show the quarterly sales revenue in thousands of dollars.O8Sales ($1,000s)Sales ($1,000s)Quarter Year 1 Year 2 Year 3Year33775Sales ($1,00(a) Construct a time series plot.500T450-500450123400350-300+250200+150-1005050-04400350-300+250200-150+100-0505001450400350300+250200-150-100500500-450-400-350+300+250200150-100+20of100175131 2 3 4Year 11 2 3 4Year 11362452615532648MYear 3Year/QuarterYearYear 4 Year 54922023841 2 3 41 2 3 4 1 2 341234Year 2Year 4 Year 5821 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4Year 2Year 4 Year 5Year 3Year/Quarter2821 2 3 4 1 2 341 2 3 4 1 2 341234Year 1 Year 2 Year 3Year 4 Year 5Year/Quarter1764451 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4Year 1 Year 2 Year 3 Year 4 Year 5Year/QuarterThe time series plot shows only seasonal effects.O The time series plot shows only a linear trend.181@nWhat type of pattern exists in the data?O The time series plot shows neither a linear trend nor seasonal effects.O The time series plot shows both a linear trend and seasonal effects.(b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects inthe data (in $1,000s). Qrt1= 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3= 1 if quarter 3, 0otherwise.

Answered: firm has been in business only five…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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)
The figure below is a time-series graph showing overall death rates (from all causes) in a country for 1900 to 2015. The spike in 1919 was due to a worldwide epidemic of influenza. Write a few sentences summarizing the overall trend, describing how much the death rate changed over this period of time and putting the 1919 spike into context in terms of its impact on the population. Death Rate per 1000 Population 20 15 10 5 L ul lu luulu l luulul 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020 Year Choose the correct answer below. O A. The death rates have increased by about 30% since the 1920s. The death rate during the influenza epidemic was about half of its current rate. O B. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was over four times its current rate. C. The death rates have decreased by about 50% since the 1920s. The death rate during the influenza epidemic was about half of its current rate. O D.…
q9 part 2 hw
Does this graph have trends and/or seasonality? What forecasting method is suitable for this data?
You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?
The data for this problem are the air freight shipments (in ton-miles) each month (beginning in January for one year) in the U. S. for 10 years. The following is a time series plot of this data. What are the most important features of this plot? Ton-miles 3000- 2500- 2000- 1500- 1000- 1 Time Series Plot of Ton-miles ܚ ܪܘܐܐܐ ܘ ܚܐ ܀ 12 24 36 48 60 Index 72 84 96 108 120
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has incand from £212,000 first year of operation to $1,079,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter 1 2 Year 1 20 102 174 Year 2 28 129 254 37 Year 3 B1 165 329 AY Year 4 102 203 383 77 Year 159 284 448 179
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不 The data in the table represent the stock price for a company at the end of each month in 2015. (a) Construct a time-series plot and comment on any trends. (b) What was the percent change in the stock price of the company from January 2015 to December 2015? Date 1/15 2/15 3/15 4/15 5/15 6/15 7/15 8/15 9/15 10/15 11/15 12/15 Closing Price D 28.78 28.98 31.45 35.08 31.50 31.88 30.66 31.55 32.14 36.17 36.63 37.28 (a) Which of the following is a time-series plot of the data? OB. Closing Price Closing Price 40- Andrea Jan Jun Dec Month 251 40- 30- 25TTT Jan Jun Month Dec Q Closing Price Closing Price 40- 251TT Jan Jun Month Dec Jan Jun Dec Month Comment on any trends. Choose the correct answer below. OA. The stock price generally remained the same throughout the year. Q OB. The stock price generally decreased throughout the year. C. There was no discernible trend in the stock price throughout the year. D. The stock price generally increased throughout the year. (b) The percent change in…
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