5. A researcher wishes to determine if the number of hours a person exercises depends on their a The data for the sample are shown below: 18 20 Age Hours of Exercise 24 26 29 33 36 44 44 51 53 11 7 4 9 5 1 2 Age and Hours of Exercise 12 10 15 20 25 30 35 40 45 50 55 Age A. What is the explanatory variable? B. What is the response variable? C. What is the form, strength and direction of this relationship? D. Calculate the correlation coefficient (r) for the relationship between age and hours of exercise. Hours of Exercise 00
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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