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The F–test
The significance of the regression results can be tested by using the F- statistics. The F-statistics is a ratio which compares the explained sum of squares and the unexplained sum of squares.Therefore, F = mean sum of squares due to regression Mean sum of squares due to residualFor calculation purposes:F = r2 /K (1 – r2)/n-k-1F statistics can then be used to test the hypothesis that the relationship between the dependent variables and all the independent variables is not significant.
Steady state condition In many cases, the Markov process will converge to a steady state or equilibrium. In general, as number of transitions `n' increase, the state values
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