At one of the San Diego area beaches, there has been a problem with thefts in the summer months. A random sample of summer days was selected. For each day, the number of street cameras (X) in the beach area and the number of reported thefts (Y) were recorded. The data was analyzed to produce the results below: The regression equation is: Thefts = 9.78 – 0.493*(cameras) On a certain day there were 5 cameras in the area and 3 reported thefts. Calculate the residual for this day.
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.
At one of the San Diego area beaches, there has been a problem with thefts in the summer months. A random sample of summer days was selected. For each day, the number of street cameras (X) in the beach area and the number of reported thefts (Y) were recorded. The data was analyzed to produce the results below:
The regression equation is: Thefts = 9.78 – 0.493*(cameras)
On a certain day there were 5 cameras in the area and 3 reported thefts. Calculate the residual for this day.
8.301
-4.315
4.315
3.301
7.315
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