Consider the following data on the number of hours which 10 persons lied for a test and their scores on the test: Hours Studied 4 9. 10 14 12 22 1 17 (x) Test Score 31 58 65 73 37 44 60 91 21 84 (y) (a) Find the equation of the least squares line that approximates the regression of the test scores on the number of hours studied. (b) Predict the average test score of a person who studied 14 hours for the test 4-
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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