Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
-
Updated
Jan 31, 2023 - R
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Statistical model on NBA basketball players' performance using multiple linear regression and stepwise search.
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Project using multiple linear regression to model prices of houses in Ames, IA.
Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data
Descriptive Statistics and Regression Analysis on Used Vehicle Dataset.
Now you can visualize dataset, fit the model without knowing any programming language
Assignments for Statistical Data Analysis course at UPM including performing statistical analysis, multiple linear regression, and time series analysis.
Full machine learning practical with R.
Applied MLR with 5-year bike rental data, incorporating model diagnostics, hypothesis testing, ANOVA and step-wise AIC, identified a significant impact of winter rainfall variation.
Implementing different flavors of Classification and Regression Machine Learning Algorithms on different datasets in the US region.
Multi Linear regression to calculate HDI
Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…
Analyzing automotive production data to gather insights on production troubles for the purpose of assisting the manufacturing team.
Time Series Model, Simple Linear Regression Model, Multiple Linear Regression Model, Polynomial Regression Model,Logistic Regression Model
Using a linear regression method, we build a model to determine the relationship between independent and dependent variable, and then predict the sales. In the process, we will use a statistical point of view for validation.
An automotive manufacturer's newest prototype has been suffering from production troubles. I offered to review the production data to identify insights that may help. Within that, several statistical analyses were performed in R, including a multiple linear regression analysis to determine which variables in the dataset can be used to most accur…
A classwork example in which R / R Studio is used to review production data for insights to help a manufacturing team
This project was undertaken as the culmination of our statistical learning course. Its primary objective was to utilize data from the 1990 U.S. Census to predict median house values, employing multiple regression models and advanced statistical analysis to attain precise predictions and gain valuable insights.
BSc Economics Dissertation Project
Add a description, image, and links to the multiple-linear-regression topic page so that developers can more easily learn about it.
To associate your repository with the multiple-linear-regression topic, visit your repo's landing page and select "manage topics."