50 + 40 30 20 10 100 150 200 250 300 350 Shots 15 10 -10 -15 + 100 150 200 250 300 350 Shots 15 10 -5 -10- -15+ + + -2 -1 1 2 nscores Residuals Residuals Goals
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.
the 2010–2011 National Hockey League season. He hopes
to convince his players that the number of shots taken has an
effect on the number of goals scored. The coach performed
a preliminary analysis, using the scoring statistics from
dicts Goals from number of Shots (taken for the season).
him to proceed with the
Dependent variable is Goals
R-squared = 63.4%
s = 5.13 with 293 - 2 = 291 degrees of freedom
Variable Coefficient SE(Coeff) t-Ratio P-Value
Intercept -1.77095 0.9087 -1.9488 0.052
Shots 0.11938 0.0053 22.460 60.0001
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