Pick any two variables that you feel may be related and esti
Pick any two variables that you feel may be related and estimate what you think the strength of the correlation co efficient would be for those two variables. variables. In your response estimate the value of r. For example specify a strong .7 to .9 medium .4 to .6 or low 0. to .3 value for r the value of the coefficient can be positive or negative. For example consider an increase in police patrols in a neighborhood and the number of burglaries that occur in that neighborhood.I would say that would be a strong inverse relationship with an r value of _ o.8 as one patrols increases the other burglary rate goes down Describe the factors that you think would contribute to why the variables would have the relationship that you estimate It to be
Solution
Two variables that are strongly correlated are the amount of exercise someone gets and their amount of body fat. These two variables are highly correlated negatively, probably between -0.7 and -0.9. In general, the more exercise someone gets, the lower their amount of fat. My evidence for this is looking at high-performance athletes, who generally have very little body fat, and “couch potatoes”, who generally have a lot.
I think these variables are correlated for several reasons. First, exercise causes fat loss. The more you exercise, the more fat you’ll lose. Exercise also builds muscle, which helps to burn calories. Secondly, people who are inclined to exercise also might be inclined to do other things like eat healthy, restrict fat, salt, and sugar, get lots of sleep, and generally maintain a healthy body weight. Some authors have suggested that the causation is in the other direction: that people who are naturally thin feel “driven” to exercise like hamsters on a wheel. They are physiologically designed not to gain weight, so they feel bad if they don’t “burn off” the excess energy. Finally, there might be a cause which impacts both. For example, depression can make people tired and can also make them crave high-calorie food, which would lead to fat gain.
