The number of tourists who visit a coastal town is shown in the graph below.Number of tourists16 00015 00014 00013 00012 00011 00010 0009 0008 0007 0006 0005 0004 0003 0002 0001 0000..ll.20172017201720172018201820182018Summer Autumn Winter Spring Summer Autumn Winter SpringSeasons/yearsDeseasonalise the time series data to remove any seasonal fluctuations, and display the results in a table.

The given time series data for the visited number of tourists is:

Answered: The number of tourists who visit a…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section4.3: Fitting Linear Models To Data

Problem 24SE: Table 6 shows the year and the number ofpeople unemployed in a particular city for several years....

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Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?
The elevation of a lake surface (feet above sea level) varies according to the annual flow of a river that feeds it. A geological survey provided the following data from equally spaced intervals of time over a 15 year period. Time Period Elevation 1 4817 2 4819 3 4824 4 4822 5 4826 6 4831 7 4836 8 4837 9 4839 10 4837 11 4832 12 4827 13 4823 14 4818 15 4817 Make a time-series graph displaying the data.
The folloiwing table shows data for U.S. movie theater admissions (per week). Display the data as a time-series graph and write a short paragraph explaining any noticeable trends or patterns. Year Admissions Year Admissions 1945 79.0 1985 20.30 1955 39.9 1995 23.3 1965 19.8 2005 26.5 1975 19.9 2015 25.4
The table below contains the average price paid for a new home in a certain area from 2000 to 2010. a. Construct a time-series plot of new home prices. b. What pattern, if any, is present in the data? Year Average_Price_($_thousands)2000 351.12001 330.52002 310.52003 296.72004 229.72005 182.32006 154.52007 156.32008 154.72009 154.52010 154.5
corporate triple-a bond interest rates for 12 consecutive months follow.9.5 9.3 9.4 9.6 9.8 9.7 9.8 10.5 9.9 9.7 9.6 9.6a. construct a time series plot. What type of pattern exists in the data?b. develop three-month and four-month moving averages for this time series. does thethree-month or four-month moving average provide more accurate forecasts basedon MSe? explain.
A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,860 2 950 910 1,110 3 2,625 2,910 2,940 4 2,510 2,370 2,615 (a) Construct a time series plot. What type of pattern exists in the data? There appears be a downward linear trend but no seasonal pattern in the data.There appears to be a seasonal pattern in the data and perhaps a moderate upward linear trend. There appears be an upward linear trend but no seasonal pattern in the data.There appears to be a seasonal pattern in the data and perhaps a moderate downward linear trend. (b) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t =…
A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615 (a) Construct a time series plot. What type of pattern exists in the data? There appears be an upward linear trend but no seasonal pattern in the data. There appears be a downward linear trend but no seasonal pattern in the data. There appears to be a seasonal pattern in the data and perhaps a moderate downward linear trend. There appears to be a seasonal pattern in the data and perhaps a moderate upward linear trend. (b) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t = { } (c) Using…
corporate triple-a bond interest rates for 12 consecutive months follow.9.5 9.3 9.4 9.6 9.8 9.7 9.8 10.5 9.9 9.7 9.6 9.6a. construct a time series plot. What type of pattern exists in the data?b. develop three-month and four-month moving averages for this time series. does thethree-month or four-month moving average provide more accurate forecasts basedon MSe? explain.c. What is the moving average forecast for the next month?
#4) Commuter ridership in Athens, Greece, during the summer months is believed to be heavily tied to the number of tourists visiting the city. During the past 12 years, the data are given in the following table. Year Number of Tourists (millions) Ridership (hundreds of thousands) 1 6 11 2 11 16 3 8 16 4 10 14 5 19 28 6 18 26 7 16 21 8 20 25 9 24 45 10 18 28 11 11 18 12 19 35 a) Create a time series plot for the ridership. b) Using linear regression to see if using the year is a good predictor for the ridership. What is the regression equation? How accurate is the model? c) Using linear regression to see if using the number of tourists is a good predictor for the ridership. What is the regression equation? How accurate is the model? d) Which linear regression equation is better? What is the expected ridership if 10 million tourists visit the city next year? e) Excel File
The Seneca Children’s Fund (SCC) is a local charity that runs a summer camp for disadvantagedchildren. The fund’s board of directors has been working very hard over recentyears to decrease the amount of overhead expenses, a major factor in how charities arerated by independent agencies. The following data show the percentage of the money SCChas raised that was spent on administrative and fund-raising expenses over the last sevenyears. a. Construct a time series plot. What type of pattern exists in the data?b. Use simple linear regression analysis to find the parameters for the line that minimizesMSE for this time series.c. Forecast the percentage of administrative expenses for year 8.d. If SCC can maintain its current trend in reducing administrative expenses, how longwill it take SCC to achieve a level of 5 percent or less?
In retail, a store manager uses time series models to understand shopping trends. Review the scatter plot of the store’s sales from 2010 through 2021 to answer the questions. See attached as image. Here is the data for Fiscal Year and Sales: Fiscal Year Sales 2010 $260,123.00 2011 $256,853.00 2012 $274,366.00 2013 $290,525.00 2014 $322,318.00 2015 $380,921.00 2016 $541,925.00 2017 $909,050.00 2018 $1,817,521.00 2019 $3,206,564.00 2020 $4,921,005.00 2021 $5,686,338.00 Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components? The model can be additive or multiplicative. When do you use each? Review the scatter plot of the exponential trend of the time series data. Do you observe a trend? If so, what type of trend do you observe? What predictions might you make about the store’s annual sales over the next few years?
Recurrent upward and downward movements in a time series are called_________________. a. Secular Trend b. Irregular Variations c. Cyclical Variations d. Seasonal Variations

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