he general fund revenue receipts for a particular U.S. state for 2003 (period 1)General Fund($ billions)Year Period2003 12004888888888012015General Fund RevenueReceipts ($ billions)21098702PeriodWhat type of pattern exists in the dataThe time series plot shows. horizontal patternO The time series plot shows a nonlinear trend.O The time series plot shows a seasThe time series plot shows a linear trend.(b) Develop a linear trend equation.General Fund RevenueReceipts ($ billions)NEO(c) What is the forecast (in billions of dollars) for period: (Round your answer to threesbillionⒸGeneral Fund RevenueReceipts ($billions)==NHOPeriodNIORBTINIOBERGeneral Fund RevenueReceipts ($ billions)e

Here we have to construct time series plot. we will use excel Enter the data in excel -> Insert…

Answered: Suppose the general fund revenue…

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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Consider the following time series data. Week 1 2 3 4 S 9 Value 18 11 14 10 16 13 (a) Construct a time series plot. What type of pattern exists in the data? ◇ The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. The data appear to follow a seasonal pattern. ◇ The data appear to follow a horizontal pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 16 6 13 Compute MSE. (Round your answer to two decimal places.) MSE= What is the forecast for week 7?
The values of Alabama building contracts (in millions of dollars) for a 12-month period follow. (a) Construct a time series plot. 400 350 300 250 200+ O 1 2 3 4 Month 5 6 What type of pattern exists in the data? 7 240 340 220 260 280 310 8 9 150- 100 The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. O The data appear to follow a horizontal pattern. 10 50 0 11 12 01 2 400 350 300 250 200- 150 100 50 0 0 1 2 3 4 5 34 5 6 7 8 9 10 11 12 13 Month Time Series Value (in $ millions) 240 340 (b) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. (Round your answers to two decimal places.) 220 260 280 310 210 320 250 6 320 7 Month 230 220 210 320 250 320 230 220 de 8 9 10 11 12 13 r 3-Month Moving Average Forecast (in $ millions) 400 350+ 300 250 200+ 150- 100+ 50+ 0 01010101000 400 T 350 300 0 1 2 3 4 250+ 200+ 150+ 100+ α = 0.2 Forecast (in $ millions) 50…
2 20. Input the data from the table into a spreadsheet. 4 Compute the serial correlation in decade returns for each asset class and for inflation. Annual Returns, Correlation by Decade and Asset Class Serial Instructor Notes: Make sure students enter data as decimals. Point out to students that serial correlation with so few data points is inherently inaccurate. Correlation is found by comparing decade to previous decade.
The quarterly sales data (number of copies sold) for Moraga Bookstore over the past three years follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 16 25 22 15 2 19 31 25 18 3 21 33 27 17 Construct a time-series plot. What type of pattern(s) exists in the data? Compute the seasonal index for the four quarters. ]Compute the linear trend equation for the deseasonalized data.
The median home value in lowa and Massachusetts (adjusted for inflation) are shown below. Year lowa Massachusetts 1950 38300 2000 82500 55400 185700 If we assume that the house values are changing linearly, a) In which state have home values increased at a higher rate? [Massachusetts b) If these trends were to continue, what would be the median home value in lowa in 2010? $ c) If we assume the linear trend existed before 1950 and continues after 2000, the two states' median house values will be (or were) equal in what year? (The answer might be absurd) The year
Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 17 12 14 10 16 13 (a) Construct a time series plot. A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect are as follows. The segments start at (1, 17), go down and right to (2, 12), go up and right to (3, 14), go down and right to (4, 10), go up and right to (5, 16), and go down and right to stop at (6, 13). A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect…
Consider the following quarterly time series. Quarter 1 2 3 4 Year 1 923 Year 2 1,112 1,056 1,156 992 Year 3 1,078 1,243 1,124 1,124 1,254 1,301 1,198 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year based on the model developed in part b.
1. A researcher is interested in knowing if there is a relationship between the years presented in the table below and the average number of people in a family receiving welfare benefits. Year Average Family Size 1969 4.0 1973 3.6 1975 3.2 1979 3.0 1983 3.0 1988 3.0 1991 2.9 a. What are your conclusions and observations about the relationship between the two variables b.What is the value of the intercept a? c. What is the value of the slope b? d. Write the linear regression equation

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