MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working
Please do all of these problems in EXCEL and upload the
spreadsheets to this assignment.
1. Consider the time series data given below:
Xi
8
3
2
10 11 3
6
5
6
8
yi
4
12 1
14
12 9 4 9 6 1
Use the least square method to determine the equation of line
of best fit for the data.
2. Number of man-hours and the corresponding productivity
(in units) are furnished below. Fit a simple linear regression
equation ^Y = a + bx applying the method of least squares.
3. The sales of a company (in million dollars) for each year
are shown in the table below.
x (year)
2005
2006
2007
2008
2009
y (sales) 12
19
29
37
45
a) Find the least square regression line y = ax + b.
b) Use the least squares regression line as a model to
estimate the sales of the company in 2012.
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Transcribed Image Text:Please do all of these problems in EXCEL and upload the spreadsheets to this assignment. 1. Consider the time series data given below: Xi 8 3 2 10 11 3 6 5 6 8 yi 4 12 1 14 12 9 4 9 6 1 Use the least square method to determine the equation of line of best fit for the data. 2. Number of man-hours and the corresponding productivity (in units) are furnished below. Fit a simple linear regression equation ^Y = a + bx applying the method of least squares. 3. The sales of a company (in million dollars) for each year are shown in the table below. x (year) 2005 2006 2007 2008 2009 y (sales) 12 19 29 37 45 a) Find the least square regression line y = ax + b. b) Use the least squares regression line as a model to estimate the sales of the company in 2012.
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