Post-analysis process, some of my assumption are proved to be right while the rest are rejected. It is shown that the population mean for Calories content of Starbucks’ drinks is not equal to 150. Besides, there is sufficient evidence to support that Calories and Caffeine have a weak linear relationship. The result is further proved through T-statistic test which shown that the Calories and Caffeine are not correlated to each other. Although Calories does not relate to Caffeine, it does have a significant relationship with Sugar. From the regression analysis, there is evidence to support that there is linear correlation between Sugar and Calories although the linear relationship is not strong enough. Finally, saturated fat has been proved to relate with beverage after conducting the chi-square test of dependency. Â
Putting the analysis aside, I learn a lot from doing this project, from searching the web for suitable datasets to using R to run the analysis. I also learn the significant of doing analysis as it give us more insight about things that we aren't quite understand. It makes our understanding more firm because we are able to prove it statistically.