solving problems with data analysis, hypotheses and the most used statistical tests in ecology
-
Updated
May 18, 2024 - R
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.
This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.
Description: Mult. Reg. Analysis performed on data from car sharing platform 'Turo' using R and a public data set representing operations in the state of Arizon of car features and additional metrics such as gas mileage and price.
R files to accompany Statistical Reasoning in Sports by Tabor and Franklin and climate modeling project for Honors Precalculus
Simple Multiple Regression problem to predict vehicle price based on various KPI's done as part of statistics coursework.
Predicting sales volume for different product types using multiple regression and analyzing the impact customer reviews have on sales.
Performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. Implemented multiple regression to identify multivariate predictors of song popularity.
This is a Multivariate Analysis Project in R. Here in I've taken Life Expectancy dataset which covers the data of 193 countries. On it I have applied techniques such as cleaning, EDA, Principal Component Analysis, Factor Analysis, Cluster Analysis and Regression.
A group research paper exploring multiple regression techniques to predict the rental prices of Airbnb locations in Santa Clara country, CA.
A multiple regression model that estimates profit of a startup company based on parameter(s) which have impact over the profit of the startup.
Workshop on two-way ANOVA and multiple regression in R, presented at the SLAT Roundtable on Feb. 8-9, 2019.
R script that performs complete multiple regression on two data sets
A simple multiple regression on two datasets (lm and closed form solution)
Add a description, image, and links to the multiple-regression topic page so that developers can more easily learn about it.
To associate your repository with the multiple-regression topic, visit your repo's landing page and select "manage topics."