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RAZONAMIENTO CUANTITIVO EN MARCHA - P2
RAZONAMIENTO CUANTITIVO EN MARCHA - P2
Final R code
Assignment 4
Assignment 4
The purpose of this assignment is to learn how to conduct and report Pearson and Spearman correlations in RStudio.
Bavanam Poojitha
This project analyzes the relationships between study habits, exam performance, screen time, and sleeping hours using correlation analysis in R. Two datasets were imported from Excel files, and descriptive statistics were calculated to summarize each variable. Histograms and Shapiro–Wilk tests were used to assess normality, which guided the selection of Spearman correlations for both analyses. The results showed a strong positive relationship between study hours and exam scores, indicating that increased study time is associated with higher exam performance. A strong negative relationship was also found between screen time and sleeping hours, suggesting that higher screen use is linked to reduced sleep. Scatterplots with regression lines were created to visually confirm the direction, strength, and linearity of each relationship.
Week 4 Correlaional Analysis
Correlaional Analysis of two data sets
Week-4 Assignment
Correlation Analysis of two Data sets
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Corelational Study
Corelation of Two datasets.