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When computing the regression analysis in excel, which columns would be my independant, x variables? pics.

When computing the regression analysis in excel, which columns would be my independant, x variables? pics.

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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When computing the regression analysis in excel, which columns would be my independant, x variables? pics.

A103 2012-01-01 A B CD E F 101 102 Date BNS.TO Adj Close Volume 51.53 33.28894 46277100 53.35 34.46467 59101600 Open High Low Close RETURN ON SHARE T-Bill 3 Month Average Excess Return 103 104 105 106 107 108 109 110 2012-01-01 51.2 54.85 51.12 50.529999 0.017396 50.512603 2012-02-01 51.94 54.53 50.6 52.349998 0.017396 52.332602 2012-03-01 53.75 57.17 52.26 55.88 36.09909 61317800 54.880001 0.017396 54.862605 2012-04-01 55.61 56.27 53.79 54.8 35.74941 35876200 53.799999 0.017396 53.782603 2012-05-01 54.86 54.89 50.26 52.97 34.55558 41925100 51.970001 0.017396 51.952605 2012-06-01 52.3 53.57 50.55 52.74 34.40553 39957200 51.740002 0.017396 51.722606 2012-07-01 53.06 54.03 50.51 52.35 34.50916 43754700 51.349998 0.017396 51.332602 2012-08-01 52.5 53.65 51.25 52.25 34,44324 43968300 51.25 0.017396 51.232604 111 112 2012-09-01 52.25 55 51.92 53.92 35.54411 49454600 52.919998 0.017396 52.902602 2012-10-01 54.15 54.6 53.01 54.25 36.13786 32142800 53.25 0.017396 53.232604 113 2012-11-01 54.25 56 52.3 56 37.3036 31571900 55 0.017396 54.982604 14 2012-12-01 55.86 58.73 55.26 57.46 38.27617 39093000 56.459999 0.017396 56.442603 15 2013-01-01 58.22 59.2 57.03 58.65 39.45335 36575500 57.650002 0.017396 57.632606 16 17 118 119 120 121 122 123 124 125 126 127 2013-02-01 58.89 61.45 58.34 61.43 41.32343 32569500 60.43 0.017396 60.412604 2013-03-01 61.33 61.84 58.26 59.11 39.76279 50396100 58.110001 0.017396 58.092605 2013-04-01 59.08 59.25 56.34 58.09 39.4753 42442700 57.09 0.017396 57.072604 2013-05-01 58.2 60.15 57.5 59.04 40.12088 43689500 58.040001 0.017396 58.022605 2013-06-01 59.14 59.17 55.1 56.22 38.20454 49896900 55.220001 0.017396 55.202605 2013-07-01 56.2 59.19 55.17 58.01 39.84697 41779600 57.009998 0.017396 56.992602 2013-08-01 58.27 59 57.36 58.5 40.18356 33893400 57.5 0.017396 57.482604 2013-09-01 58.78 60.21 58.3 59 40.527 37705500 58 0.017396 57.982604 2013-10-01 59.12 64.1 58.58 63.39 43.99943 37639100 62.389999 0.017396 62.372603 2013-11-01 45.2627 36986400 66.43 46.10951 43164400 61.1 42.40992 48383800 63.64 66.75 62.81 65.21 64.209999 0.017396 64.192603 2013-12-01 65.11 66.59 62.51 65.43 0.017396 65.412604 2014-01-01 66.35 66.6 60.56 60.099998 0.017396 60.082602 AGSRTSEsame
Transcribed Image Text:A103 2012-01-01 A B CD E F 101 102 Date BNS.TO Adj Close Volume 51.53 33.28894 46277100 53.35 34.46467 59101600 Open High Low Close RETURN ON SHARE T-Bill 3 Month Average Excess Return 103 104 105 106 107 108 109 110 2012-01-01 51.2 54.85 51.12 50.529999 0.017396 50.512603 2012-02-01 51.94 54.53 50.6 52.349998 0.017396 52.332602 2012-03-01 53.75 57.17 52.26 55.88 36.09909 61317800 54.880001 0.017396 54.862605 2012-04-01 55.61 56.27 53.79 54.8 35.74941 35876200 53.799999 0.017396 53.782603 2012-05-01 54.86 54.89 50.26 52.97 34.55558 41925100 51.970001 0.017396 51.952605 2012-06-01 52.3 53.57 50.55 52.74 34.40553 39957200 51.740002 0.017396 51.722606 2012-07-01 53.06 54.03 50.51 52.35 34.50916 43754700 51.349998 0.017396 51.332602 2012-08-01 52.5 53.65 51.25 52.25 34,44324 43968300 51.25 0.017396 51.232604 111 112 2012-09-01 52.25 55 51.92 53.92 35.54411 49454600 52.919998 0.017396 52.902602 2012-10-01 54.15 54.6 53.01 54.25 36.13786 32142800 53.25 0.017396 53.232604 113 2012-11-01 54.25 56 52.3 56 37.3036 31571900 55 0.017396 54.982604 14 2012-12-01 55.86 58.73 55.26 57.46 38.27617 39093000 56.459999 0.017396 56.442603 15 2013-01-01 58.22 59.2 57.03 58.65 39.45335 36575500 57.650002 0.017396 57.632606 16 17 118 119 120 121 122 123 124 125 126 127 2013-02-01 58.89 61.45 58.34 61.43 41.32343 32569500 60.43 0.017396 60.412604 2013-03-01 61.33 61.84 58.26 59.11 39.76279 50396100 58.110001 0.017396 58.092605 2013-04-01 59.08 59.25 56.34 58.09 39.4753 42442700 57.09 0.017396 57.072604 2013-05-01 58.2 60.15 57.5 59.04 40.12088 43689500 58.040001 0.017396 58.022605 2013-06-01 59.14 59.17 55.1 56.22 38.20454 49896900 55.220001 0.017396 55.202605 2013-07-01 56.2 59.19 55.17 58.01 39.84697 41779600 57.009998 0.017396 56.992602 2013-08-01 58.27 59 57.36 58.5 40.18356 33893400 57.5 0.017396 57.482604 2013-09-01 58.78 60.21 58.3 59 40.527 37705500 58 0.017396 57.982604 2013-10-01 59.12 64.1 58.58 63.39 43.99943 37639100 62.389999 0.017396 62.372603 2013-11-01 45.2627 36986400 66.43 46.10951 43164400 61.1 42.40992 48383800 63.64 66.75 62.81 65.21 64.209999 0.017396 64.192603 2013-12-01 65.11 66.59 62.51 65.43 0.017396 65.412604 2014-01-01 66.35 66.6 60.56 60.099998 0.017396 60.082602 AGSRTSEsame
Regression ? X Input OK Input Y Range: Cancel Input X Range: Help Labels Constant is Zero O Confidence Level: 95 % Output options Output Range: New Worksheet Ply: O New Workbook Residuals Residual Plots Line Fit Plots Residuals Standardized Residuals Normal Probability O Normal Probability Plots
Transcribed Image Text:Regression ? X Input OK Input Y Range: Cancel Input X Range: Help Labels Constant is Zero O Confidence Level: 95 % Output options Output Range: New Worksheet Ply: O New Workbook Residuals Residual Plots Line Fit Plots Residuals Standardized Residuals Normal Probability O Normal Probability Plots
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