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Use ANCOVA and Linear models to solve example assignment.
Example of beginner level university level assignment of R Studio statistics with solution.
Use R Studio to create decision trees with pruning for building model to predict used car prices.
R Studio ggplot2 library contains functions qplot() and ggplot(). What is the result of these functions? Example solution explains the differences.
Use R studio to analyze a logistic model - bottom up loop development and analysis.
In this post, we combine data-wrangling and visualization skills to create a professional-looking data visualization using the
ggplot2 package in R. Most popular unisex baby names are presented nicely in an R graph.
The following exercises aim to compare simple linear regression results computed in matrix form with the built in R function lm().
The following exercises aim to use linear regression tools in R to investigate whether a linear relationship exists between tuition and other variables.
It is a popular dataset used to analyze service requests of various cities (Pitsburg, New York, etc.). This time we analyze Roslindale city in R.
Solutions to Multiple Linear Regression Exercises in R Studio
Example solution of analysis how SAT scores are dependent on Education expenditure. Model is built using linear regression. It explains 82% of variance in SAT scores.
Data preprocessing is the first step in a data modeling assignment. Learn the best practices following the solution to an example assignment. Topics covered: reading file, dealing with missing values, various plots, analyzing relations and distributions of the data.