:1. Fit a straight line trend for the following data by Least Square method. AlsoAind production for the year 2018.Year20092010201120122013Production of Steel(m. tonnes)1220283250

Given that X= Years , Y=Production of steel (in tonnes) X Y 2009 12 2010 20 2011 28…

Answered: :1. Fit a straight line trend 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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Fat (9) 31 39 19 34 43 39 35 Calories 580 680 410 590 | 660 640 570 8. Make a scatter plot of the data. 700 650 * 600 550 500 450 400 O 10 20 30 40 50 x Fat (g) Desertee the COFrelation Use technology to find the equation of the best-fitting line for the data. Graph the best-fitting line for the data on the scatter plot. Predict the number of calories in a hamburger that contains 34 grams óf fat. Calories
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
26 14 30 45 20 21 27 32 40 Age of residents in a neighbourhood 50 9 37 40 36 13 52 10 35 12 36 57 28 51 47 48 42 42 52 1 53 Create a box-and-whisker plot for the data. If you use technology copy and paste the graph into your solutions document. If you prepare it by hand use a ruler and take a clear, well-lit photograph or scan and insert it as an image into your document.
12. Fit a straight line trend by the method of least squares to the following data. Assuming that the same rate of change continues, what would be the predicted earming for the year 2015? Year 2001 2002 2003 2004 2005 2006 2007 2008 Eamings (Rs. lakh): Do not plot the trend values on the graph. 38 40 65 72 69 60 87 95
am. 13.
Fit a straight line trend by the method of least.square from the following data. Ak. calculate the trend values. Estimate the sales for 2012. Year 2005 2006 2007 2008 2009 2010 Sales(in 000) 12 13 14 15 22 26
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Using the photo attached, One Stop Car Repairs ollects data on the actual demand for its services and uses this data to make forecasts. The actual number of transmissions that were repaired for the last ten periods IS ATTACHED IN THE PHOTO answer the following. 1. Using the trend projection manual method, forecast demand for transmission repairs for periods 11 and 12

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:1. Fit a straight line trend for the following data by Least Square method. Also find production for the year 2018. Year 2009 2010 2011 2012 2013 Production of Steel (m. tonnes) 12 20 28 32 50