While working on my report today, I came to the realization that it’s necessary to conduct a t-test on the independent variables within the urban-rural dataset. Specifically, I examined the obesity data in the urban-rural context and found that the T-statistic is -13.52903571504057, and the p-value is 1.4137452385540387e-40. This statistical result suggests that there is a considerable difference between these groups, with first group(rural) having a significantly lower mean than the other. The low p-value suggests that the observed difference is not due to random variability but is instead likely a real and meaningful difference between the groups.
Similarly, when analyzing the inactivity data, I observed a T-statistic of -7.488472092334628, and the associated p-value is 9.002823630475274e-14.
As of now, I have conducted linear regression, multiple regression, t-test, utilized the Monte Carlo method, and implemented cross-validation techniques on the dataset. The outcomes and any noteworthy challenges encountered during these analyses have been documented in the report.