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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=r(σYσX)
b1 - Regression Coefficient?r - Correlation between X and Y?σY - Standard Deviation of Y?σX - Standard Deviation of X?

Regression Coefficient given Correlation Example

With values
With units
Only example

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

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

Here is how the Regression Coefficient given Correlation equation looks like.

5Edit=2Edit(150Edit60Edit)
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Regression Coefficient given Correlation Solution

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

FIRST Step Consider the formula
b1=r(σYσX)
Next Step Substitute values of Variables
b1=2(15060)
Next Step Prepare to Evaluate
b1=2(15060)
LAST Step Evaluate
b1=5

Regression Coefficient given Correlation 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.
Correlation between X and Y
Correlation between X and Y is the measure of the strength and direction of the linear relationship between two variables X and Y. It ranges from -1 to 1.
Symbol: r
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Standard Deviation of Y
Standard Deviation of Y is the measure of the amount of variation or dispersion of values in the variable Y.
Symbol: σY
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Standard Deviation of X
Standard Deviation of X is the measure of the amount of variation or dispersion of values in the variable X.
Symbol: σX
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.

Other Formulas to find Regression Coefficient

​Go Regression Coefficient
b1=ȳ-b0

Other formulas in Regression category

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

How to Evaluate Regression Coefficient given Correlation?

Regression Coefficient given Correlation evaluator uses Regression Coefficient = Correlation between X and Y*(Standard Deviation of Y/Standard Deviation of X) to evaluate the Regression Coefficient, Regression Coefficient given Correlation formula is defined as the value that represents the change in the dependent variable Y for a unit change in the independent variable X, and calculated using the correlation between X and Y. Regression Coefficient is denoted by b1 symbol.

How to evaluate Regression Coefficient given Correlation using this online evaluator? To use this online evaluator for Regression Coefficient given Correlation, enter Correlation between X and Y (r), Standard Deviation of Y Y) & Standard Deviation of X X) and hit the calculate button.

FAQs on Regression Coefficient given Correlation

What is the formula to find Regression Coefficient given Correlation?
The formula of Regression Coefficient given Correlation is expressed as Regression Coefficient = Correlation between X and Y*(Standard Deviation of Y/Standard Deviation of X). Here is an example- 0.2 = 2*(150/60).
How to calculate Regression Coefficient given Correlation?
With Correlation between X and Y (r), Standard Deviation of Y Y) & Standard Deviation of X X) we can find Regression Coefficient given Correlation using the formula - Regression Coefficient = Correlation between X and Y*(Standard Deviation of Y/Standard Deviation of X).
What are the other ways to Calculate Regression Coefficient?
Here are the different ways to Calculate Regression Coefficient-
  • Regression Coefficient=(Mean of Y-Regression Constant)/Mean of XOpenImg
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