MSE = 5 Figure 19: Matrix Plot of the Inverse Square Figure 14: Error Diagnostic Analysis of the Square Transformed Variables of the Regression Root Transformation Regression Model. Model. Consider the linear model 3.8. Regression Model of the Reciprocal Transformed with estimated model Variables Figure 15: Matrix Plot of the Reciprocal Analysis of Variance Table Transformed Variables of the Regression Response: INSQY Model Consider the linear model. with estimated model --- 0.001 0.01 Signif. codes: 0 ‘***’ ‘**’ ‘*’ 0.05 ‘.’ 0.1 ‘ Analysis of Variance Table ’ 1 Response: RECIY MSE = 7.0000e-13 Figure 20: Error Diagnostic Analysis of the Inverse Square Transformation Regression --- Model. 0.001 0.01 Signif. codes: 0 ‘***’ ‘**’ ‘*’ 0.05 ‘.’ 0.1 ‘ 3.11. Regression Model of the Sine Transformed ’ 1 MSE = 1.4000e-08 Variables Figure 16: Error Diagnostic Analysis of the Reciprocal Transformation Regression Figure 21: Matrix Plot of the Sine Transformed Model. Variables of the Regression Model. Consider the linear model 3.9. Regression Model of the Inverse Square Root with estimated model Transformed Variables Analysis of Variance Table Figure 17: Matrix Plot of the Inverse Square Root Response: SINEY Transformed Variables of the Regression Model. Consider the linear model MSE = 0.53935 with estimated model Figure 22: Error Diagnostic Analysis of the Sine Transformation Regression Model. Analysis of Variance Table Response: INSQRTY 3.12. Regression Model of the Deviate Transformed Variables --- 0.001 0.01 Figure 23: Matrix Plot of the Deviate Transformed Signif. codes: 0 ‘***’ ‘**’ ‘*’ 0.05 ‘.’ 0.1 ‘ Variables of the Regression Model. ’ 1 MSE = 0.0000016 Figure 18: Error Diagnostic Analysis of the Inverse Square Root Transformation Regression Model. Consider the linear model 3.10. Regression Model of the Inverse Square with the estimated model Transformed Variables
MSE = 5 Figure 14: Error Diagnostic Analysis of the Square Root Transformation Regression Model. 3.8. Regression Model of the Reciprocal Transformed Variables Figure 15: Matrix Plot of the Reciprocal Transformed Variables of the Regression Model Consider the linear model. with estimated model Analysis of Variance Table Response: RECIY --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 MSE = 1.4000e-08 Figure 16: Error Diagnostic Analysis of the Reciprocal Transformation Regression Model. 3.9. Regression Model of the Inverse Square Root Transformed Variables Figure 17: Matrix Plot of the Inverse Square Root Transformed Variables of the Regression Model. Consider the linear model with estimated model Analysis of Variance Table Response: INSQRTY --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 MSE = 0.0000016 Figure 18: Error Diagnostic Analysis of the Inverse Square Root Transformation Regression Model. 3.10. Regression Model of the Inverse Square Transformed Variables Figure 19: Matrix Plot of the Inverse Square Transformed Variables of the Regression Model. Consider the linear model with estimated model Analysis of Variance Table Response: INSQY --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 MSE = 7.0000e-13 Figure 20: Error Diagnostic Analysis of the Inverse Square Transformation Regression Model. 3.11. Regression Model of the Sine Transformed Variables Figure 21: Matrix Plot of the Sine Transformed Variables of the Regression Model. Consider the linear model with estimated model Analysis of Variance Table Response: SINEY MSE = 0.53935 Figure 22: Error Diagnostic Analysis of the Sine Transformation Regression Model. 3.12. Regression Model of the Deviate Transformed Variables Figure 23: Matrix Plot of the Deviate Transformed Variables of the Regression Model. Consider the linear model with the estimated model
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