For the final week in the ‘Regression Modeling in Practice’ course, I will be testing a logistic regression model using the Marscrater dataset to examine my research question. Research Question: Is crater diameter associated with crater depth? In addition to my primary explanatory variable (crater diameter), I will consider the effect of a potential confounding […]

# Category Archives: Regression Modeling in Practice Course

# Assignment 3_RMIP: Testing a Multiple Regression Model

This week, working on my subsetted Marscrtaer data, I will test a multiple regression model to examine my research question. Research Question: Is crater diameter associated with crater depth? In addition to my primary explanatory variable (crater diameter), I will consider the effect of a potential confounding variable (Ejecta_Layers) on the association between crater depth […]

# Assignment 2_RMIP: Test a Basic Linear Regression Model

This week, I am going to test a basic linear regression model for the association between Crater Diameter (explanatory variable) and Crater Depth (response variable). The explanatory and response variables are both quantitative. Therefore, I will center the explanatory variable (Crater Diameter) to have a mean of zero. Below are the python code used in […]

# Assignment 1_RMIP: Writing About Your Data

This blog will cover the assignments for the Regression Modelling in Practice course. It is a continuation of the Data Analysis and Interpretation Specialization taught by Wesleyan University under Coursera training platform. The week 1 assignment is about describing my data; in terms of the population my sample was drawn from, the procedures that were […]