In this article, I’ll briefly discuss methods and techniques for analysis of multivariate linear regression using R studio. Generally speaking, multivariate linear regression is a statistical technique used to model the relationship between a set of independent variables and a single continuous dependent variable. In R Studio, you can perform Read more…
Working with data (sometimes large number of variables, or large number of observations), requires adding and removal of variables. In this article, we’ll discuss 4 ways: With assigning a new column: Mutate: Using data.frame() command: Using the cbind() command: First, let’s define the dataset we’re working with: We’ll use the Read more…
Boxplot is a plot shaped as a box, which depicts the distribution of a variable using certain measures in this distribution, such as minimum, maximum, all quarterlies, inter quartile range (IQR) and even outliers of the distribution. In R programming, there are several ways to create a boxplot; In this Read more…
Descriptive statistics is the first encounter with the data, and gives us a primal intuition and idea of what is laid in front of us. Sometimes, for some reason, we’re interested not only in the overall descriptive statistics of the whole sample, but in certain groups drawn from the sample. Read more…
Plotting and Descriptive Statistics Assignment: Linear Regression: Data Wrangling & Some Plotting Hypotheses Testing and More