Co-relational Methods

CORRELATIONAL METHODS
Name
Institution
Instructor
Date of Submission
Co-relational Methods
A confounding variable is an unconnected variable in a numerical model that either positively or negatively shows a relationship with both the dependent variable as well as the independent variable (Johnston, 2001). The perception of the relationship between the dependent and the independent variable has always been misapproximated as a result of failure to give an account of a confounding feature known as the spurious relationship and failure in approximation in this case is termed as omitted variable bias.
Correlation on the other hand is an evaluation of two continuous statistical variables. Correlation shows direction and strengths of the relation. Any wide class of numerical relationships that involve dependence is correlation.
The study was triggered by a prevalence of increasing number of overweight teenagers and adolescents in North America. Research done has found out that almost one thirds of adolescents are either obese or overweight. Obesity and overweight is caused by both mental and physical health consequences. The increases in weight gains by this group of people are thought to be caused by unplanned eating out. Eating out frequently at cheaper fast food restaurants is one factor that causes weight gain in teenagers and adolescents (Jabs & Devine 2006). Participants of the research were made up by a total of 1,764 teenagers including 734 males and 1,030 females. These participants took part in the study between academic years 2005 and 2008. The measures used during the study came from a booklet of questionnaires and each and every participant in the study had to participate in filling the questionnaire.
The correlation feature of this study is depicted in evaluation of family meals as a factor that predicts males nature of overweight and obese, same as in the females. The wider class of statistics in evaluation of family meals as...