Linear Regression

Obesity in the United States continues growing alarmingly. Approximately 66 % of adults and 33 % of children and teenagers in the US are overweight. Obesity is the result of fat accumulated over time due to the lack of a balanced diet and exercise. An adult with a BMI (body mass index) higher than thirty percent is considered obese (Whitney & Rolfes, 2011, pg. 271).

Body fat distribution can be estimated by skin fold measures, waist-to-hip circumference ratios, or techniques such as ultrasound, computed tomography, or magnetic resonance imaging.” (www.cdc.gov) The difference is that obesity is a definite problem, whereas being overweight can be directly related to obese but may just be that your lean muscle weight is higher than the average person in you height category.

1. Identify each of the unknown samples(use specific data to justify your answers for A and B).

(TCO 2) In Excel, a function can be defined as a _____. (Points : 2)

Obesity is becoming a major problem to many Americans as well as many people around the world. Being the second cause of preventable death in the United States, obesity increases the risk of numerous adverse health problems including breast cancer, heart disease, type II diabetes, osteoarthritis, colon cancer, stroke, and more. Obesity is defined as an excess proportion of total body fat, with a person being considered obese if his or her weight is twenty percent or more above normal body weight. A common way to measure obesity is by calculating the body mass index. An individual is considered overweight if his or her BMI is between twenty five and thirty,

2. Identify all of the major dependent and independent variables and the level of measurement for each variable

MEASUREMENTS: changes in obesity (body mass index (BMI) > or =30 kg/m(2)) and normal weight (BMI <25 kg/m(2)) prevalence for men and women by 10-year U.S. birth cohorts were examined. The prevalence of obesity and normal weight in the elderly in 2010 was estimated under three different scenarios of obesity prevalence change.

179). This is an important statement as it means the researcher needs to start thinking about how they will analyze their data before they even collect it. In order to properly analyze the data, the researcher should transcribe each interview and then compare it to their observations and journal (Badenhorst, 2008). When analyzing the data the researcher must keep in mind the research questions, and create themes through the data that relate to the research question. First, the researcher will analyze each session together, coming up with keynotes and themes from the observations, interviews, and journals (Anderson & Austin, 2012). Once that is analyzed, each piece from each session will then be compared with each other. For example did participants enjoy the program in session 1 but not by session 5? Why did this happen? Was the program too repetitive? Was it the same thing over and over? Was there a different instructor? After the analysis is done the researcher must put the data into a legible discussion

Select appropriate tools to collect, record, analyze, and evaluate data. Make directional hypotheses that specify what happens to a dependent variable when an independent variable is manipulated.

Grier, T., Canham-Chervak, M., Sharp, M., & Jones, B. H. (2015). Does body mass index

T.S. Han, M.A. Tijhuis, M.E. Lean, et al. Quality of life in relation to overweight and body fat distribution Am. J. Public Health, 88 (1998), pp.

Obesity rates are soaring throughout North America (What Is Obesity?, 2013). With obesity reaching almost epidemic proportions in the United States, and the threat of a global epidemic, we must watch this alarming increase carefully ( Health Risks of Obesity, 2013). Obesity is defined as: "…an excess of adipose tissue…" (A Report of the Surgeon General, 2014). The two most common measures of obesity are Body Mass Index (BMI is a ratio of weight to height) and relative weight index, such as percent desirable weight (Body Mass Index , 2013). BMI is the most frequently used measure of obesity as it has a strong correlation with more direct measures of adiposity, such as underwater weighing (A Report of the Surgeon General, 2013). Some

2. Identify all of the major dependent and independent variables and the level of measurement for each variable

Source: CDC, National Center for Health Statistics, National Health and Nutrition Examination Survey. Health, United States, 2002. Flegal et. al. JAMA. 2002;288:1723-7. NIH, National Heart, Lung, and Blood Institute, Clinical Guidelines on the Identification, Evaluation and Treatment of Overweight and Obesity in Adults, 1998.

James, W. P. (2008). The epidemiology of obesity: the size of the problem. Journal of Internal Medicine, 336-352. Retrieved from http://eds.a.ebscohost.com.library.gcu.edu:2048/ehost/pdfviewer/pdfviewer?sid=9ede2d6d-4d02-42e9-aff7-dd9b2486a3c3%40sessionmgr4004&vid=8&h