Determine The Effect Of Adult Smokers In The State Of Kansas
Submitted By lesia77
Words: 1316
Pages: 6
In this project, for the regression analysis, it will cover the topic of cancer death rates in the state of Kansas. The purpose of this study is to help determine the effect of adult smokers in the K.S. (SMOKERS) on the cancer death rate in the U.S. (CDEATH), while holding constant the effects of the amount of obese adults (OBESITY), unemployment rate (UNEMPLOY) and the amount of Americans that consume fruits and vegetables (NUTRITION).
CDEATH = OBESITY + SMOKERS + UNEMPLOY + NUTRITION
The dependent variable (CDEATH) is based on the statistic of the number of cancer deaths per 100,000 populations.
State the correlation:
“The dependent variable CDEATH is determined by independent variables OBESITY, SMOKERS, UNEMPLOY, and NUTRITION.
Identify the primary independent variable:
The most important independent variable in this relationship is SMOKERS because smoking has been widely believed to be a direct result of lung cancer in the U.S. According to The University of Texas MD Anderson Cancer Center, “smoking is responsible for 87% of all lung cancer cases and 30% of all cancer cases” (The University of Texas MD Anderson Cancer Center).
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There are 4 chosen independent variables that could affect the outcome of the dependent variable, they consist of adult overweight/obesity rate, smoking adults, unemployment rates and fruit and vegetable consumption.
Adult obesity (OBESITY) could prove to be a significant variable in correlation with cancer deaths due to unhealthy practices. According to the National Cancer Institute, obesity has been directly linked to some certain types of cancer. “One study, using NCI Surveillance, Epidemiology, and End Results (SEER) data, estimated that in 2010 in the United States, about 34,000 new cases of cancer in men (4 percent) and 50,500 in women (7 percent) were due to obesity” (National Cancer Institute at the National Institutes of Health). I expect this to be an important factor but not the most significant. The relationship between OBESITY and CDEATH should be
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