Regression Analysis with Diagnostic Tools for Predictions

 
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Variable X
Variable Y
 
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Variable X
Variable Y
 
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Variable X
Variable Y
 
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Variable X
Variable Y
 
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Variable X
Variable Y
 
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Variable X
Variable Y
 
Enter a Confidence Level:
Mean(X) Mean(Y)
Variance(X) Variance(Y)
Slope Its Standard Error
Intercept Its Standard Error
Correlation Its Standard Error
F-Statistic Its P-value
Linearity Condition:
 

Residual-based Diagnostic Tools for Data Transformation Decisions:

Mean Variance
Mean:
The first half		 Mean:
The second half
Variance:
The first-half		 Variance:
The second half
First order serial-correlation Second order serial-correlation
Durbin-Watson statistic Mean absolute errors
 

Normality Condition:

ith Residual:
 


Predictions by Regression:

1. Confidence Interval for Single Value Prediction:
Lower Limit (LL), Predicted Value (YP), Upper Limit (UL)
2. Confidence Interval for a Future Value Prediction:
Lower Limit (LL), Predicted Value (YP), Upper Limit (UL)
3. Confidence Region for the Whole Values’ Predictions:
Lower Bound (LB), Predicted Value (YP), Upper Bound (UB)