Logarithmic Regression Equation

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The equation of a logarithmic regression model takes the following form y a b ln x where y The response variable x The predictor variable a b The regression coefficients that describe the relationship between x and y The following step by step example shows how to perform logarithmic regression in Excel Step 1 Formula for calculating rate of change And here’s an example to understand it better (with discussion to follow). Function used: Y = a + b * ln (X) = 100 + 1*ln (X) Short Description In the above example, Y1 and Y2 represent initial points and Y9 and Y10 represent end points.

Logarithmic Regression EquationA log-linear model is a mathematical model that takes the form of a function whose logarithm equals a linear combination of the parameters of the model, which makes it possible to apply (possibly multivariate) linear regression. That is, it has the general form , Three types of logarithmic regressions exist In each type you take the natural log ln x of one or more of the variables in the regression equation 1 Linear log model In a linear log model you perform a log transformation on the independent variable