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Intra-individual variability due to repeated measures was assessed using the dummy variable method for multiple regression analysis.
Non-linearity was also evident using the dummy variable estimators.
Using the dummy variable indicators, there was some indication of non-linearity, however.
Therefore, we opted for an interpretation of categorical variables using the dummy variable method as follows: Let N be the total number of values for a given categorical variable, then we create N new "dummy" features.
The algorithm will attempt to classify each of the 100 vectors into k = 3 clusters, A or B or C. Using the dummy variable method we generate three new variables: Cluster_k3_A, Cluster_k3_B, Cluster_k3_C.
We dropped individuals with missing information on control variables rather than using the "dummy variable adjustment" method because deletion has been found to produce less-biased estimates (Allison 2001).
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Intra-individual variability due to repeated measures was assessed using the dummy variables method for the multiple regression analysis [ 17].
However, using the dummy variables for parent education, there was evidence of non-linearity in the amount of change in selection across cohorts.
Based on the signs and magnitudes of the correlations, tree boles were divided into two to four residual correlation sections which were distinguished using the dummy variables in Eq. 13.
Accordingly, to examine the impact of the time of submission of limit orders using the dummy variables, each one third of the study period was assigned a value of 1 or 0. D 1 was equal to 1 if the initial period of Nifty Futures trading (first 1/3 of the trading day) was considered to be morning hours trading (from 09 55 IST to 11 47 IST), and 0 otherwise.
To measure duality, this paper uses the dummy variable method.
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