Category: Data Analytics

This tutorial shows how you can calculate p-value for linear regression. It includes formulas and data examples in Python. Formulas for p-value in Linear Regression We can estimate the regression coefficient B using the following formula. Where, Such calculation only...

This tutorial shows how to plot interactions of 2 categorical independent variables in Python. The following shows both the ANOVA and linear regression outputs. You will see that ANOVA is also a linear regression model. Thus, it does not matter...

This tutorial shows how you can calculate predicted Y (or, estimated Y) in linear regression in Python. Steps of Calculating Predicated Y in Linear Model in Python Step 1: Prepare data, X and Y Output: X: [[ 5] [ 2]...

This tutorial shows how you can conduct linear regression Python Numpy from scratch. 1. Math and Matrix of Linear Regression We can use just use pure matrix calculation to estimate the regression coefficients in a linear regression model. Below is...

1. Introduction Type I, Type II, and Type III ANOVA are 3 different ways of calculating sum of squares in ANOVA. Type I ANOVA: SS(A) for factor A SS(B | A) for factor B SS(AB | A, B) for interaction...

Introduction We can use sklearn.linear_model.LinearRegression to do linear regression in Python. The following is the core syntax of using sklearn. lm.fit(IVs, DV) Where, IVs: the independent variables DV: the dependent variable Example for Linear Regression Model The following is the...

This tutorial shows how you can remove stop words using nltk in Python. Stop words are words not carrying important information, such as propositions (“to”, “with”), articles (“an”, “a”, “the”), or conjunctions (“and”, “or”, “but”). We first need to import...