Introduction
The purpose of this study is to examine how certain factors affect body mass index in adults over the age of 18 and under the age of 85. The National Center for Health Statistics (NCHS) conducts the National Health Interview Survey (NHIS) each year to monitor the health of the United States population. Investigators conduct face-to-face household interviews and follow-up with telephone interviews, if necessary. Telephone interviews were also conducted if requested by the respondent or if there was difficulty traveling to the participant’s home. The data used in this study is derived from the 2018 Sample Adult questionnaire, in which one adult per family is randomly selected. The sample adult responds for themselves unless they are physically or mentally unable to do so, in which a knowledgeable proxy is allowed to answer for the adult.
About the Data
Our continuous response variable is body mass index (BMI), a person’s weight in kilograms divided by the square of height in meters. It holds information on a person’s weight category. A summary of the data set sample after removing samples with unknown values is given below.
We have chosen seven covariates to examine in this study. Below is the description and summary for each of these variables, after missing values were removed from the dataset. We consider Refused, Not Ascertained, and Don’t Know as missing values.
● Age (AGE_P) - continuous from age 18 to 84; we have excluded those 85 and above because their specific age is not available in this dataset
● Sex (SEX) - possible values are Male or Female
● Duration of vigorous activity (VIGLNGNO) - the average duration in minutes that each person performs vigorous activity each time they exercise
● Hours of sleep (ASISLEEP) - how many hours of sleep on average in a 24-hour period
● Have more than one job (ONEJOB) - whether or not the person has more than one job with values yes or no
● Ever had high cholesterol (CHLEV) - whether or not the person has ever been diagnosed with high cholesterol with values yes or no
● Ever had diabetes (DIBEV1) - whether or not the person has ever been diagnosed with diabetes with values yes, no, or borderline/prediabetes
Our final sample size is 8280.
Hypotheses
We have included a hypothesis for each of our covariates.
Age:
H0: BMI is not significantly associated with age vs. HA: BMI is significantly associated with age.
Sex:
H0: BMI is not significantly different between sex vs. HA: BMI is significantly different between sex.
Duration Physical activity:
H0: BMI is not significantly associated with a respondent’s duration of physical activity when they exercise vs. HA: BMI is significantly associated with a respondent’s duration of physical activity when they exercise.
Hours of sleep:
H0: BMI is not significantly associated with a respondent’s hours of sleep in 1 day vs. HA: BMI is significantly associated with a respondent’s hours of sleep in 1 day.
CS 340 Milestone One Guidelines and Rubric Overview: For this assignment, you will implement the fundamental operations of create, read, update,
Retail Transaction Programming Project Project Requirements: Develop a program to emulate a purchase transaction at a retail store. This
7COM1028 Secure Systems Programming Referral Coursework: Secure
Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip
CS 340 Final Project Guidelines and Rubric Overview The final project will encompass developing a web service using a software stack and impleme
