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Regression Coefficient is the value that represents the change in the dependent variable Y for a unit change in the independent variable X. Check FAQs
b1=ȳ-b0
b1 - Regression Coefficient?ȳ - Mean of Y?b0 - Regression Constant? - Mean of X?

Regression Coefficient Example

With values
With units
Only example

Here is how the Regression Coefficient equation looks like with Values.

Here is how the Regression Coefficient equation looks like with Units.

Here is how the Regression Coefficient equation looks like.

5Edit=200Edit-50Edit30Edit
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Regression Coefficient Solution

Follow our step by step solution on how to calculate Regression Coefficient?

FIRST Step Consider the formula
b1=ȳ-b0
Next Step Substitute values of Variables
b1=200-5030
Next Step Prepare to Evaluate
b1=200-5030
LAST Step Evaluate
b1=5

Regression Coefficient Formula Elements

Variables
Regression Coefficient
Regression Coefficient is the value that represents the change in the dependent variable Y for a unit change in the independent variable X.
Symbol: b1
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Mean of Y
Mean of Y is the average value of all the data points in the variable Y.
Symbol: ȳ
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Regression Constant
Regression Constant is the intercept of the regression line on the Y-axis. It represents the expected value of Y when X is 0.
Symbol: b0
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Mean of X
Mean of X is the average value of all the data points in the variable X.
Symbol:
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.

Other Formulas to find Regression Coefficient

​Go Regression Coefficient given Correlation
b1=r(σYσX)

Other formulas in Regression category

​Go Regression Constant
b0=ȳ-(b1)
​Go Simple Linear Regression Line
Y=b0+(b1X)

How to Evaluate Regression Coefficient?

Regression Coefficient evaluator uses Regression Coefficient = (Mean of Y-Regression Constant)/Mean of X to evaluate the Regression Coefficient, The Regression Coefficient formula is defined as the value that represents the change in the dependent variable Y for a unit change in the independent variable X. Regression Coefficient is denoted by b1 symbol.

How to evaluate Regression Coefficient using this online evaluator? To use this online evaluator for Regression Coefficient, enter Mean of Y (ȳ), Regression Constant (b0) & Mean of X (x̅) and hit the calculate button.

FAQs on Regression Coefficient

What is the formula to find Regression Coefficient?
The formula of Regression Coefficient is expressed as Regression Coefficient = (Mean of Y-Regression Constant)/Mean of X. Here is an example- 5.333333 = (200-50)/30.
How to calculate Regression Coefficient?
With Mean of Y (ȳ), Regression Constant (b0) & Mean of X (x̅) we can find Regression Coefficient using the formula - Regression Coefficient = (Mean of Y-Regression Constant)/Mean of X.
What are the other ways to Calculate Regression Coefficient?
Here are the different ways to Calculate Regression Coefficient-
  • Regression Coefficient=Correlation between X and Y*(Standard Deviation of Y/Standard Deviation of X)OpenImg
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