2. Develop a linear trend line for the following data. Plot theline and the data on a graph and verify visually that lineartrend line is appropriate. Then use the equation to predict thenext two values of the series. (1&2 For Special Prelim Exam tobe şubmitted Midnite of April 22, 2022)PERIODDEMAND144252350454555556085662

Answered: Image /qna-images/answer/6587d4da-9c10-4dda-8ad1-2b835ec72bc4.jpg

Answered: 2. Develop a linear trend line for 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

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Below are given the annual production figures (in thousand tonnes) of a fertiliser factory : Year 2011 2012 2013 2014 2015 2016 2017 Production : 70 75 90 91 95 98 100 (1) Fit a straight line trend by the method of least squares and tabulate the trend values. (i) Convert your annual trend equation into a monthly trend equation.
Fit a trend function y = A. B* to the following data. 2 3 4 5 y : 1.6 4.5 13.8 40 2 125.0
1. Give below is the data on production of a company (in lakhs). Year: 1983 1984 1985 1986 1987 1988 1989 Production: 15 14 18 20 17 24 27 Fit the linear trend. Compute the trend values for each year. Estimate the production for уear 1991.
Give typed full explanation
A small detergent company in Karachi is confident that their sales are growing significantly week by week. Treating sales for the previous eight weeks as a typical example of this increasing trend, they recorded them in PKR 1000's and examined the results. Week 1 2 3 4 5 6 Sales (in PKR) 2.59 2.55 2.63 2.68 2.74 2.83 2.86 2.99 a) Plot a scatter diagram between week and sales. b) Find the equation of regression line. c) Find the expected sales for 12 week d) Find the correlation coefficient between the two variables.
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.
Q. 16. step by stepsolutiomn please Scatter plots and Equations of Lines, Writing an Equation for a trend line Which graph shows the best trend line for the following data Practice (weeks) 6 8 10 12 14 16 18 Score 15.5 21.5 26.5 34 33 37 41
Q. 4.
Solve #3 with data shown.
The following time series shows the sales of supermarket chain over the last six months. Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360 Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.
Look at the graph. Create a trend line using the line tool. Answer the questions using the graph to determine the slope and to make predictions. Determine the Slope of your trend Iline: Number of Cups Used at the Concession Stand 280 260 240 220 Using the scatterplot and trend line, what is the best prediction for the number of cups used for Week 4? Week 10? 200 180 160 140 120 100 80 60 40 20 1 2 34 5 678 9 10 Time- Weeks tormine the slope and Number of Cups
Item#3 A chemical engineer desiring to study the evaporation rate of water from brine evaporation beds obtained data on the number of inches of evaporation in each of 55 July days spread over 4 years. The data are given in the following stem and leaf plot, which shows that the smallest data value was o.02 inch, and the largest o.56 inch. Stem Leaf 0.0 2, 6 0.1 1, 4 1, 1, 1, 3, 3, 4, 5, 5, 5, 6, 9 0, 0, 2, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 6, 6, 7, 8, 9 0, 1, 2, 2, 2, 3, 4, 4, 4, 5, 5, 5, 7, 8, 8, 8, 9, 9 2, 5, 6 0.2 0.3 0.4 0.5 Find the: a) sample mean; b) sample median; c) sample standard deviation of these data. d) Do the data appear to be approximately normal? e) What percentage of data values are within 1 standard deviation of the mean?

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