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https://github.com/lovesaroha/regression-with-single-parameter

In statistics, simple linear regression is a linear regression model with a single explanatory variable.That is, it concerns two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables.
https://github.com/lovesaroha/regression-with-single-parameter

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In statistics, simple linear regression is a linear regression model with a single explanatory variable.That is, it concerns two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables.

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# Regression-With-Single-Parameter
In statistics, simple linear regression is a linear regression model with a single explanatory variable.That is, it concerns two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables.

Demo [lovesaroha/Regression-With-Single-Parameter](https://ml.lovesaroha.com/Regression-With-Single-Parameter)

![image](https://raw.githubusercontent.com/lovesaroha/gimages/main/17.png)