We examined the weight height relationship in 25 diverse population samples of men and women from the us europe and asia. Using the given height and weight data set follow the steps in the weekly video or on pages 584 585 of the textbook for performing a regression analysis using excel to analyze the height and weight data set assume height is the input variable x and weight is the output variable y. Thus you get three states from the chart. Bmi one of the most popular tools uses a formula that involves your height and weight. In my view you can easily find the relationship in a human body. In other words a 10 increase in height is tied to a 31 increase in weight.
The chart for your question can be had from the net. Theres a strong correlation between height and weight. It means that you are within the defined ratio range. The analysis included 72 subgroups. The basic statistical analysis of survey respondents provides that among weight and feet length feet length has stronger relationship with height as compared to weight and the coefficient of. To calculate your bmi divide your weight in pounds by your height in inches squared.
In general weight increases as the cube of the increase in height. Rationale is that bmi correctly captures the relationship between weight and height which implies that the slope of log weight regressed on log height is 2. The height and weight chart are meant to help you evaluate the association between the two components. If you see somebody on the road or visual media and you say he is so fat or he is so thin now the answer is in the thought i. You must correlate the ratio between the two by correctly interpreting your position in the chart. Many studies have found this relationship.