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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.

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.

MATLAB: An Introduction with Applications
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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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.
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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