Multiple Linear Regressions Analysis
The Fitted Model is :
X1
X2
X3
X4
Y
Predicted
Y values
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Diagnostic Tools for Data Transformation Decisions
R-Square
F-Statistic
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:
i
th
Residual: