File Edit Help Tables Rows Coh DOE Analyre Graph Took Yes, the data is numerical so this condition is met Bivariate Fit of Total Nuclear Power Generation By Yea 20000000 Question 8 60000000- The data set "nuclear power generation_total" shows total nuclear power generation 40000000- worldwide over time. Using this data set and JMP perform a simple linear regression, 20000000 Does this data set meet the linearity condition? Why or why not? No, there appears to be a linear pattern in the plot of x vs. y. 1960 1970 1980 Year 1990 2000 20 O No, there appears to be a pattern in the residual plot Linear Ft Lincar Fit O Yes, this condition is met Total Nuclear Power Generation-3 497e-9-17795763Yeer 4 Summary of Fit O No, there is a funnel shaoc in the residual plot RSquare RSquare Adi Root Mean Square Eror 0.962018 0.961258 $412067 Question 9 UDIvariate Fit of Total Nuclear Power Generation By Year Linear Fit Parameter Estimates Diagnostics Plots 4 Residual by Predicted Plot 10000000 5000000 -5000000 -10000000 20000000 40000000 60000000 80000000 Total Nuclear Power Generation Predicted Actual by Predicted Plot 80000000 *****. 60000000 40000000 20000000 20000000 40000000 60000000 80000000 Total Nuclear Power Generation Predicted Residual by Row Plot 10000000 5000000 -5000000- al Nuclear Power neration Residual Total Nuclear Power Generation Actual Total Nuclear Power Generation Residual * ****
File Edit Help Tables Rows Coh DOE Analyre Graph Took Yes, the data is numerical so this condition is met Bivariate Fit of Total Nuclear Power Generation By Yea 20000000 Question 8 60000000- The data set "nuclear power generation_total" shows total nuclear power generation 40000000- worldwide over time. Using this data set and JMP perform a simple linear regression, 20000000 Does this data set meet the linearity condition? Why or why not? No, there appears to be a linear pattern in the plot of x vs. y. 1960 1970 1980 Year 1990 2000 20 O No, there appears to be a pattern in the residual plot Linear Ft Lincar Fit O Yes, this condition is met Total Nuclear Power Generation-3 497e-9-17795763Yeer 4 Summary of Fit O No, there is a funnel shaoc in the residual plot RSquare RSquare Adi Root Mean Square Eror 0.962018 0.961258 $412067 Question 9 UDIvariate Fit of Total Nuclear Power Generation By Year Linear Fit Parameter Estimates Diagnostics Plots 4 Residual by Predicted Plot 10000000 5000000 -5000000 -10000000 20000000 40000000 60000000 80000000 Total Nuclear Power Generation Predicted Actual by Predicted Plot 80000000 *****. 60000000 40000000 20000000 20000000 40000000 60000000 80000000 Total Nuclear Power Generation Predicted Residual by Row Plot 10000000 5000000 -5000000- al Nuclear Power neration Residual Total Nuclear Power Generation Actual Total Nuclear Power Generation Residual * ****
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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