 https://agrimetsoft.com/regressions/ https://agrimetsoft.com/regressions/Multiple-Linear We have data in 4 columns of excel data. One column is Y and others is X0, X1, X2. Copy and paste the data to online 'Multiple Linear Regression Calculator' then click on 'Fit Line' button. Then you will have the result. You can use unlimited X0 to Xn. Y = a0 X0 + a1 X1 + a2 X2 + b a0 = ? a1 = ? a2 = ? b = ? https://agrimetsoft.com/regressions/ https://agrimetsoft.com/regressions/Linear We have data in two columns of excel. One column is X and another is Y. Copy and paste the data to 'Online Linear Regression Calculator' then click on 'Fit Line' button. Then you will have the result. Y = a X + b a = ? b = ? https://agrimetsoft.com/regressions/ https://agrimetsoft.com/regressions/Nonlinear We have data in 2 columns of excel data. One column is Y and another is X. Copy and paste the data to online 'Nonlinear Regression Calculator' then click on 'Fit Line' button. Then you will have the result. You can use unlimited X0 to Xn. Y = a X2 + b X + c a = ? b = ? c = ? https://agrimetsoft.com/regressions/Multinomial-Logistic https://agrimetsoft.com/regressions/ We have an excel data. These data are X0=Age and X1=Smoker and Y=Had Cancer. We want to fit a 'Multinomial Logistic Regression' by using 'Multinomial Logistic Regression Calculator' and calculate if a person has 49 years old and is a smoker, does he have cancer? Firstly, we should convert false to 0 and true to 1, then copy and paste the data into the calculator. https://agrimetsoft.com/regressions/Logistic https://agrimetsoft.com/regressions/ We have two column data. The dependent (Y) variable is boolean data. We want to fit a logistic regression on them and then calculate the values for a value of independent (X): https://agrimetsoft.com/regressions/ https://agrimetsoft.com/regressions/Polynomial We have data in 2 columns of excel data. One column is Y and another is X. Copy and paste the data to online 'Polynomial Regression Calculator' then you should enter the degree of function and click on 'Fit Line' button. Then you will have the result. the result depends on the degree of function: degree = 1 == Y = a * X + b degree = 2 == Y = a * X^2 + b * X + c degree = 3 == Y = a * X^3 + b * X^2 + c * X + d degree = 4 ...... . . .