Using survey data to calculate statistics can be extremely valuable, but you must also make sure that the sample and questions are unbiased. Design a pair of questions that are related to the same healthcare issue: one that is unbiased and another that would result in a bias in one direction or the other. Examples: 1. Do you think that the rate of type II diabetes diagnoses will increase over the next 10 years? 2. Given the large increase in childhood obesity in the United States, do you think that type II diabetes diagnoses will increase over the next 10 years? Discuss why it is important to create a truly unbiased sample and survey questions. Do not state which of your own questions is biased and which is unbiased. Your peers will determine which is which in their responses to you.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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