section of the city has varied. The following chart shows the number of police officers and the number of muggings for 8 successive days. Police 20 12 18 15 10 20 12 officers Muggings 5 10 6 1 13 7 15 a) What is the explanatory variable? variable? b) What is the least squares regression equation? c) What is the correlation coefficient, r? What is the response Interpret this result. d) What is the coefficient of determination, r2? Interpret this result. e) Use the equation in part (b) to estimate the average number of muggings when 16 police officers are patrolling that section of the city 22
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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