In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 2033–2040) powdered mixtures of coal and limestone were analyzed for permittivity. The errors in the density...


Multiple regression analysis


In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 2033–2040)<br>powdered mixtures of coal and limestone were analyzed for permittivity. The errors in the density<br>measurement was the response<br>Density<br>Dielectric Constant<br>Loss Factor<br>0.749<br>2.05<br>0.016<br>0.798<br>2.15<br>0.02<br>0.849<br>2.25<br>0.022<br>0.877<br>2.3<br>0.023<br>0.929<br>2.4<br>0.026<br>0.963<br>2.47<br>0.028<br>0.997<br>2.54<br>0.031<br>1.046<br>2.64<br>0.034<br>1.133<br>2.85<br>0.039<br>1.17<br>2.94<br>0.042<br>1.215<br>3.05<br>0.045<br>Fit a multiple linear regression model to these data with the density as the response.<br>x = Dielectric Const x, = LossFactor<br>

Extracted text: In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 2033–2040) powdered mixtures of coal and limestone were analyzed for permittivity. The errors in the density measurement was the response Density Dielectric Constant Loss Factor 0.749 2.05 0.016 0.798 2.15 0.02 0.849 2.25 0.022 0.877 2.3 0.023 0.929 2.4 0.026 0.963 2.47 0.028 0.997 2.54 0.031 1.046 2.64 0.034 1.133 2.85 0.039 1.17 2.94 0.042 1.215 3.05 0.045 Fit a multiple linear regression model to these data with the density as the response. x = Dielectric Const x, = LossFactor

Jun 11, 2022
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