# Correlation Vs Regression

While correlation uses a single coefficient to represent the strength and direction of the association, regression formulates an equation to provide deeper insights and forecasting capabilities.

### Correlation

• Shows the association of 2 variables.
• Displays liner relationships between 2 variables.
• No difference between dependent & Independent variables
• Resembles the strength of association.
• Aim’s to find the numerical values helps show the relationship.

### Regression

• Shows how independent variable is numerically related to dependent variable.
• Liner Regression fits best , Helps estimate one variables basis on another variables.
• The regression of y on x is different from x on y .
• Regression reflects the impact of the units changes in the independent variables on the dependent variable.
• Regression whose goal is to predict values of the random variable on the basis of the values of fixed variable.

### Similarities between correlation and regression

Thought having some key difference between correlation & regression, there are some similarities.

• Both works to express the direction & strength of relationship between 2 variables.
• When correlation is negative the regression slide/slope is also negative.
• When correlation is positive the regression slide/ line is also positive. ##### Saniya Gazala

Saniya Gazala is a Computer Science graduate from Reva University. She began as a manual tester, honing her skills in defect identification and problem-solving. Transitioning to technical writing, she simplified complex tech concepts for users. Her journey is marked by continuous learning and growth in the tech industry.

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