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anim Create your own set of data consisting of 10 data points and fit a line a line to this using the least square (LSM). 8 6

math   Statistics-And-Probability   
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28 精 275 27- 其 26.5 26 25.54 25 基 24.5 24- 25.5 29 25- 22 215 21 排 20.5 20 - 110 115 120 125 13009-9905.- TISS DE TOE See the data as below BMI (y) SBP (mm Hg) (x) 21 118 114 123 24 25 131 28 1240 la 26 117 27 25 28 131 TWe select the linear Regression technique because BMT and both are very closely Eelated to each othed. we have to find impacb: 10+29786 10*45113 12034247 (1203)2 297860 - 29741 145)130-447209 0719 3921 - 0.1834 %3D 24.7 0.834 420.3 24.7 - 22.06 2.64

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