Exact(8)
Non-significant predictors were eliminated using a backward elimination method.
Less significant variables were eliminated by a backward elimination procedure at the 0.15 significance level.
A backward elimination procedure was then performed to eliminate nonsignificant parameters (P⩾0.1).
Table 9 shows the reduced model for TWR after eliminating the non-significant terms by a backward elimination process.
We removed non-significant terms from each saturated model using a backward elimination procedure with a P-value of 0.1 being sufficient to eliminate the term.
We ran the regressions without a backward elimination as well.
Model selection was performed using the Akaike information criterion (AIC, Akaike 1973) in conjunction with a backward elimination procedure.
The significance was improved through a "backward elimination" process, by omitting the insignificant dependent terms (p > 0.05).
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