Regression Constant Formula

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Regression Constant is the intercept of the regression line on the Y-axis. It represents the expected value of Y when X is 0. Check FAQs
b0=ȳ-(b1)
b0 - Regression Constant?ȳ - Mean of Y?b1 - Regression Coefficient? - Mean of X?

Regression Constant Example

With values
With units
Only example

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

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

Here is how the Regression Constant equation looks like.

50Edit=200Edit-(5Edit30Edit)
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Regression Constant Solution

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

FIRST Step Consider the formula
b0=ȳ-(b1)
Next Step Substitute values of Variables
b0=200-(530)
Next Step Prepare to Evaluate
b0=200-(530)
LAST Step Evaluate
b0=50

Regression Constant Formula Elements

Variables
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 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 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 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 in Regression category

​Go Regression Coefficient given Correlation
b1=r(σYσX)
​Go Regression Coefficient
b1=ȳ-b0
​Go Simple Linear Regression Line
Y=b0+(b1X)

How to Evaluate Regression Constant?

Regression Constant evaluator uses Regression Constant = Mean of Y-(Regression Coefficient*Mean of X) to evaluate the Regression Constant, Regression Constant formula is defined as the intercept of the regression line on the Y-axis. It represents the expected value of Y when X is 0. Regression Constant is denoted by b0 symbol.

How to evaluate Regression Constant using this online evaluator? To use this online evaluator for Regression Constant, enter Mean of Y (ȳ), Regression Coefficient (b1) & Mean of X (x̅) and hit the calculate button.

FAQs on Regression Constant

What is the formula to find Regression Constant?
The formula of Regression Constant is expressed as Regression Constant = Mean of Y-(Regression Coefficient*Mean of X). Here is an example- 50 = 200-(5*30).
How to calculate Regression Constant?
With Mean of Y (ȳ), Regression Coefficient (b1) & Mean of X (x̅) we can find Regression Constant using the formula - Regression Constant = Mean of Y-(Regression Coefficient*Mean of X).
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