This graph shows the relationship between Minutes Very Active (exercise) vs. Calories burned, showing that when minuets active increases, so does the amount of calories burned. The correlation coefficient was 0.55 meaning there was a positive medium strength relationship between these two variables. R^2 was 0.305 meaning the model used explains some of the variability of the response data around the mean. The least- squares regression line that was fitted to the graph somewhat fits the data. the y-intercept is -65.3004 meaning when x=0 the y= -65.3044 which is (minutes very active). also meaning at -65.3044 minutes I burned 0 calories. The slope is 7.4075 meaning as x increases (calories burned) the amount of time increases by 7.4075 minutes.
minutes sed …show more content…
It shows that the larger amount of time i am sedentary, the less calories i burn. the correlation coefficient is -0.1485 meaning as calories decreased, minuets sedentary increased also a weak relationship. The coefficient of determination is 0.022 meaning the least squares regression line that was fitted to the data is not a good fit. The y-intercept is 1133.38 meaning when x=0 y=1133.38, which means when calories burned= 0 then the amount of time sedentary= 1133.38 minutes. the slope is -0.1205, because it is a negative slope it shows a decrease meaning when the amount of time sedentary increases, the calories burned