The electric power consumed (kWh) y each month by an electrowinning plant is thought to be related to the average concentration of the feed (kg/m3) A, weight of product (tons) B, the number of days of operation C, purity of product D, and temperature (°C) E. Historical data from the plant was obtained in order to accurately determine the relationship between the five factors and the power consumption. y A C E 240 25 100 24 91 25 236 31 95 21 90 35 290 45 110 24 88 32 274 60 88 25 87 30 301 65 94 25 91 30 316 72 99 26 94 27 300 80 97 25 87 41 296 84 96 25 86 29 267 75 110 24 88 29 276 60 105 25 91 32 288 50 100 25 90 34 261 38 98 23 89 31 Using a 95% confidence level, complete the ANOVA table below for the multiple linear regression model of the 5 factors. ANOVA Source df SS MS fcalc p-value Regression Residual Total Based on the ANOVA table, it can be conclude that Using the results of the multiple linear regression analysis above, predict the power consumption on a normal operation period where A = 40 kg/m3, B = 100 tons, C = 25 days, D = 90%, E = 30°C. kWh

The electric power consumed (kWh) y each month by an electrowinning plant is thought to be related to the average concentration of the feed (kg/m3) A, weight of product (tons) B, the number of days of operation C, purity of product D, and temperature (°C) E. Historical data from the plant was obtained in order to accurately determine the relationship between the five factors and the power consumption. y A C E 240 25 100 24 91 25 236 31 95 21 90 35 290 45 110 24 88 32 274 60 88 25 87 30 301 65 94 25 91 30 316 72 99 26 94 27 300 80 97 25 87 41 296 84 96 25 86 29 267 75 110 24 88 29 276 60 105 25 91 32 288 50 100 25 90 34 261 38 98 23 89 31 Using a 95% confidence level, complete the ANOVA table below for the multiple linear regression model of the 5 factors. ANOVA Source df SS MS fcalc p-value Regression Residual Total Based on the ANOVA table, it can be conclude that Using the results of the multiple linear regression analysis above, predict the power consumption on a normal operation period where A = 40 kg/m3, B = 100 tons, C = 25 days, D = 90%, E = 30°C. kWh

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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