Executive Summary

Our company recently measured teh iris flower and derive the iris dataset. We would like to knowmore on data.

Introduction’

Our company recently measured teh iris flower and derive the iris dataset. We would like to knowmore on data. - How are the variables correlate dto each other? - Wat is the distribution of each variable? - How are the varaibles same?

Data Source

measured teh iris flower and derive the iris dataset

Stakeholders

Eric Goh Ming Hui. Eric has MBA andMaster of Technology. Eric know technical and business. Eric Goh is maanger, more performance and identify areas of imporvement. Eric Goh Ming Hui. Eric has MBA andMaster of Technology. Eric know technical and business. Eric Goh is maanger, more performance and identify areas of imporvement. Eric Goh Ming Hui. Eric has MBA andMaster of Technology. Eric know technical and business. Eric Goh is maanger, more performance and identify areas of imporvement.

Key Findings

How are the variables correlate dto each other?

Correlation Matrix

## 
## Please cite as:
##  Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables.
##  R package version 5.2.3. https://CRAN.R-project.org/package=stargazer
##              sepal.length sepal.width petal.length petal.width
## sepal.length    1.0000000  -0.1181293    0.8737381   0.8206195
## sepal.width    -0.1181293   1.0000000   -0.4260283  -0.3628942
## petal.length    0.8737381  -0.4260283    1.0000000   0.9627723
## petal.width     0.8206195  -0.3628942    0.9627723   1.0000000

Correlation Sepal Length Sepal Width

## Warning: package 'pander' was built under R version 4.5.3
## Warning: package 'broom' was built under R version 4.5.3
## 
## Pearson
## [1] 0.9627723
## 
## Spearman
## [1] 0.9376545
## 
## Kendall
## [1] 0.8065882
Table continues below
estimate statistic p.value parameter conf.low conf.high
0.9628 43.18 2.082e-85 147 0.9489 0.9729
method alternative
Pearson’s product-moment correlation two.sided

Correlation Petal Length Petal Width

## 
## Pearson
## [1] -0.1181293
## 
## Spearman
## [1] -0.1681023
## 
## Kendall
## [1] -0.0786184
Table continues below
estimate statistic p.value parameter conf.low conf.high
-0.1181 -1.442 0.1513 147 -0.2737 0.0435
method alternative
Pearson’s product-moment correlation two.sided

Wat is the distribution of each variable?

Normality Petal Length

## 
## ---------------
## Variable: petal.length
## ---------------
## 
## Normality Test
statistic p.value method
0.8768 8.635e-10 Shapiro-Wilk normality test

Normality Petal Width

## 
## ---------------
## Variable: petal.width
## ---------------
## 
## Normality Test
statistic p.value method
0.9019 1.853e-08 Shapiro-Wilk normality test

Normality Sepal Length

## 
## ---------------
## Variable: sepal.length
## ---------------
## 
## Normality Test
statistic p.value method
0.9756 0.009234 Shapiro-Wilk normality test

Normality Sepal Width

## 
## ---------------
## Variable: sepal.width
## ---------------
## 
## Normality Test
statistic p.value method
0.985 0.1062 Shapiro-Wilk normality test

How are the varaibles same?

Wilcoxon Petal Length Petal Width

statistic p.value method alternative
19099 4.976e-27 Wilcoxon rank sum test with continuity correction two.sided

Wilcoxon Sepal Length Sepal Width

statistic p.value method alternative
22199 2.084e-50 Wilcoxon rank sum test with continuity correction two.sided

Conclusion