- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
- •Independent variables. The equation of the fitted model is
- •99% Confidence level.
Independent variables. The equation of the fitted model is
M = 492,7 + 0,000307758*Y*P - 0,918023*Irr
Since the P-value in the ANOVA table is less than 0.01, there is a
statistically significant relationship between the variables at the
99% Confidence level.
The R-Squared statistic indicates that the model as fitted
explains 92,8273% of the variability in M. The adjusted R-squared
statistic, which is more suitable for comparing models with different
numbers of independent variables, is 92,296%. The standard error of
the estimate shows the standard deviation of the residuals to be
22,1606. This value can be used to construct prediction limits for
new observations by selecting the Reports option from the text menu.
The mean absolute error (MAE) of 17,7718 is the average value of the
residuals. The Durbin-Watson (DW) statistic tests the residuals to
determine if there is any significant correlation based on the order
in which they occur in your data file. Since the DW value is less
than 1.4, there may be some indication of serial correlation. Plot
the residuals versus row order to see if there is any pattern which
can be seen.
In determining whether the model can be simplified, notice that the
highest P-value on the independent variables is 0,3690, belonging to
Irr. Since the P-value is greater or equal to 0.10, that term is not
statistically significant at the 90% or higher confidence level.
Consequently, you should consider removing Irr from the model.
Multiple Regression Analysis M.2
-----------------------------------------------------------------------------
Dependent variable: M
-----------------------------------------------------------------------------
Standard T
Parameter Estimate Error Statistic P-Value
-----------------------------------------------------------------------------
Y*P 0,000915939 0,000121484 7,53958 0,0000
Irr 35,8515 7,09052 5,05625 0,0000
-----------------------------------------------------------------------------
Analysis of Variance
-----------------------------------------------------------------------------
Source Sum of Squares Df Mean Square F-Ratio P-Value
-----------------------------------------------------------------------------
Model 9,17675E6 2 4,58838E6 95,26 0,0000
Residual 1,34862E6 28 48165,2
-----------------------------------------------------------------------------
Total 1,05254E7 30
R-squared = 87,1869 percent
R-squared (adjusted for d.f.) = 86,7293 percent
Standard Error of Est. = 219,466
Mean absolute error = 168,824
Durbin-Watson statistic = 0,428636
The StatAdvisor
---------------
The output shows the results of fitting a multiple linear
regression model to describe the relationship between M and 2
Independent variables. The equation of the fitted model is
M = 0,000915939*Y*P + 35,8515*Irr
Since the P-value in the ANOVA table is less than 0.01, there is a
statistically significant relationship between the variables at the