Table 1 Regression analyses in different time Phases.

From: Social, economic, and demographic factors drive the emergence of Hinglish code-mixing on social media

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  1. All the time periods are defined on a quarterly basis, i.e., 1/2014 denotes the first quarter (January to March) of 2014. In each of these studies we use the time periods as the independent variable – (a) uses CMI as the dependent variable, (b) uses the temporal proportion of Hindi, English, and Hinglish tweets as the dependent variables, and (c) uses the temporal proportion of speakers preferring Hindi, English and Hinglish as the dependent variables. Sl. denotes the slope (rate of change) and Inter. denotes the intercept (bias) from the fitted regression models. To highlight the goodness-of-fit of these models, we report the adjusted R2 and F statistics (* denotes p < 0.001).
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