Wanting to study the effect of exercise on preventing the common cold, a researcher collects 500 test subjects and randomly assigns them to a treatment group instructed to exercise and a control group instructed to not exercise. He later records the number of colds for each group. This is an example of: linear regression an experiment an observational study independence
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.
Wanting to study the effect of exercise on preventing the common cold, a researcher collects 500 test subjects and randomly assigns them to a treatment group instructed to exercise and a control group instructed to not exercise. He later records the number of colds for each group. This is an example of:
Experimental Study:
If some treatments are applied on the individuals in order to observe the effectiveness of the treatments then the study is termed as experimental study.
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