Find the seasonal variations by the method of 'ratio to trend' for the followindata of sales of a company :IIIIIIVIYear/Qtrs.201180726860681041008820128011610896201310815213612420141601841721642015

Answered: Image /qna-images/answer/a5d0391f-1d1a-481e-86d3-185f97ac3f07.jpg

Answered: Find the seasonal variations by the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Which of the following best describes the trend of the graph? Scatterplot of Salary vs Start Year 100 80 60 40 20 1985 1990 1995 2000 2005 2010 Start Year There is a positive linear trend. There is a negative linear trend. O There is no linear trend. Salary (in thousands of dollars per year)
The table below lists the percent of a country's population that is foreign-born for selected years. Year 1930 1940 1950 6.7 1960 1970 5.3 1980 1990 2000 2008 Percent 11.4 8.5 4.6 6.5 8.1 10.2 12.3 Answer parts a through e. (a) Plot the data. Let x =0 correspond to the year 1930, x= 10 correspond to 1940, and so on. Choose the correct graph below. OA. B. Oc. OD. Q (0, 80,101 by (0,15,3] (b) Find a quadratic function f(x) = a(x-h) +k that models the data. Use (40,4.6) as the vertex and (20,6.7) as the other point to determine a. f(x) = (Use integers or decimals for any numbers in the expression. Type an integer or decimal rounded to four decimal places as needed.)
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
For the data set, perform exponential smoothing with alpha = 0.1 to determine the forecast for week 20. week Sales (1000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 13 31 14 34 15 31 16 33 17 28 18 32 19 30
Year Percent of workers paid hourly rates 1979 61.2 1980 60.7 1981 61.3 1982 61.3 1983 61.8 1984 61.7 1985 61.8 1986 62.0 1987 62.7 1990 62.8 1992 62.9 The percent of female wage and salary workers who are paid hourly rates is given above for the years 1979-1992. a. Using "year" as the independent variable and "percent" as the dependent variable, make a scatter plot of the data. b. Does it appear from inspection that there is a relationship between the variables? c. Find the estimated percents for 1991 and 1988. d. Use the two points in part C to plot the least squares line on your graph from part A.
Does this graph have trends and/or seasonality? What forecasting method is suitable for this data?
Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R² = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year Use the equation for the trend line to estimate women's earnings as a percentage of men's earnings in 2000. (Round to the tenths place.) Percentage
C. Describe the four characteristics of association
Desmos | Graphing Calc Year Time (seconds) 1912 82.2 1924 72.4 1932 66.8 1952 66.8 1960 61.2 1968 60.0 1976 55.65 1984 55.92 1992 54.64 2000 53.8 2008 53.1 a. Decide which variable should be the independent variable and which should be the dependent variable. b. Draw a scatter plot of the data. C. Does it appear from inspection that there is a relationship between the variables? Why or why not? d. Find the equation in the form of: y= a + bx. e. Find the correlation coefficient. f. Find the estimated gold medal time for 1932. Find the estimated time for 1984. g. Why are the answers from part f different from the chart values? h. Does it appear that a line is the best way to fit the data? Why or why not? i. Use the least-squares line to estimate the gold medal time for the next Summer Olympics (Assuming they would be in 2020). Do you think that your answer is reasonable? Why or why not? Note that the fastest speed time in recorded history as of 2020 was 51.22 seconds for the 100 meter…
Give typed full explanation
Q3 A manufacturer has plotted product sales over the past four weeks. Use a linear trend line to generate a forecast for week 5. T (week) Y (Sales) 1 2300 2 2400 3 2200 4 2600
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Find the seasonal variations by the method of 'ratio to trend' for the followin data of sales of a company : II III IV I Year/Qtrs. 80 72 68 2011 60 104 100 88 2012 68 116 108 96 2013 80 108 152 136 124 2014 2015 160 184 172 164