In Applied Spectroscopy, the infrared reflectance spectra properties of a viscous liquid used in the electronics industry as a lubricant were studied. The designed experiment consisted of the effect of band frequency x1 and film thickness x2 on optical density y using a Perkin-Elmer Model 621 infrared spectrometer. (Source: Pacansky, J., England, C. D., and Wattman, R., 1986.) y. 0.231 0.107 740 740 1.10 0.62
In Applied Spectroscopy, the infrared reflectance spectra properties of a viscous liquid used in the electronics industry as a lubricant were studied. The designed experiment consisted of the effect of band frequency x1 and film thickness x2 on optical density y using a Perkin-Elmer Model 621 infrared spectrometer. (Source: Pacansky, J., England, C. D., and Wattman, R., 1986.) y. 0.231 0.107 740 740 1.10 0.62
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Transcribed Image Text:ŷ = bo + bịr1 + b2x2.

Transcribed Image Text:In Applied Spectroscopy, the infrared reflectance spectra properties of a viscous liquid used in the
electronics industry as a lubricant were studied. The designed experiment consisted of the effect
of band frequency x1 and film thickness x2 on optical density y using a Perkin-Elmer Model 621
infrared spectrometer. (Source: Pacansky, J., England, C. D., and Wattman, R., 1986.) y.
Q4.
0.231
740
1.10
0.107
0.053
0.129
0.069
0.030
1.005
0.559
0.321
2.948
1.633
0.934
740
740
SO5
805
805
0.62
0.31
1.10
0.62
0.31
1.10
0.62
0.31
1.10
0.62
980
980
980
1235
1235
1235
0.31
Estimate the multiple linear regression equation.
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