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.
Solve y < 2 graphically.
![](/static/compass_v2/shared-icons/check-mark.png)
To solve the inequality y<2 graphically, first plot the line y=2 by finding some points on the line.
Observe that the inequality is strict, so the line should be dashed.
To find some points on the line, y=2, take some random x-values and find corresponding y-values.
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