Linear Correlation- A relationship between the independent and dependent data, that whenever plotted forms a straight line
Independent Variable- The variable representing the value being manipulated or changed. Normally "x" is used as the independent variable
Dependent Variable- The variable that depends on the independent variable. The outcome of a function, Normally "y" is used as the dependent variable
Correlation- A statistical measurement between two variables.
Positive vs. Negative Correlation- Positive correlation means the plotted data has an upward trend from left to right. Negative correlation means the plotted data has a downward trend from left to right
Coefficient of linear correlation- Measures the strengh and the direction of a linear relationship between two variables. Ranges from -1 to 1.
Perfect Positive Correlation- Perfect positive correlation is the relationship between an independent and dependent variable falls in a perfectly straight line. The correlation coefficient is 1.
No Linear Correlation- No linear correlation means there is no relationship between the independent and dependent variable. The correlation coefficient is 0.
