As I was working on my report today, it became evident that conducting a t-test on the independent variables within the urban-rural dataset is imperative. Specifically, I focused on the obesity data in the urban-rural context and uncovered a T-statistic of -9.73523394627364, along with a remarkably low p-value of 5.8473952385946553e-40.
These statistical results strongly suggest a substantial distinction between these groups, with the first group exhibiting a significantly lower mean compared to the other group.
The exceedingly low p-value implies that the observed difference is unlikely to be due to random fluctuations but instead represents a meaningful and real divergence between the groups.
Also, when examining the inactivity data, I noted a T-statistic of -9.923344884720628, accompanied by an associated p-value of 9.236304752700284e-14.
Up to this point, I have conducted a variety of analyses on the dataset, including linear regression, multiple regression an t-tests. My report thoroughly documents the outcomes of these analyses as well as any notable challenges encountered along the way.