1. Engagement activity - Two-factor analysis of variance Kara Gallagher and her colleagues at the University of Pittsburgh were interested in studying the effects of diet and exercise on weight loss. They followed 200 women over the course of 12 months. The women were placed on a low-fat diet and were divided into groups. Each group had a different exercise plan. At the end of 6 months, most of the women had considerable weight loss and improved cardiorespiratory fitness, but the differences in the amount of weight lost between the various exercise groups were not significant. The women achieved weight loss and improved cardiorespiratory fitness through the combination of exercise and diet. Watch the video and answer the questions that follow;In the study, participants were instructed to exercise five days a week, with walking encouraged as the primary mode of exercise, The participants were randomly assigned to one of > different exercise groups. The exercise groups varied according to which factors? Check all that apply Type of exercise Duration Intensity Level of competitiveness You know from the video that when the researchers reanalyzed the data, they found that exercise was the one factor that affected how much lost weight had been maintained by 12 months. So for you have not been introduced to any statistical technique that is complex enough to tease out the role of multiple factors. However you already have most of the basic building blocks you need to do this analysis. The exercises in this chapter will help you put it all together so you can master the logic and calculations necessary for two factor analysis of variances