Executive Summary

Our company recently measured the iris flower and get the iris dataset. We would like to know the dataset.

Introduction

Our company recently measured the iris flower and get the iris dataset. We would like to know the dataset. - How are the variables correlated to each other? - What is the distribution of each variable? -How same is the vraiables?

Data Source

measured the iris flower

Key Findings

How are the variables correlated to each other?

CorrelationMatrix

## 
## 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: Petal length : Petal Width

## 
## 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 is not so good.

Correlation: Sepal length : Sepal 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

Correlation is good.

PLots

What 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

If P < 0.05, the variable not normally distributed.

Normality: Petal With

## 
## ---------------
## Variable: petal_width
## ---------------

## 
## Normality Test

statistic	p.value	method
0.9019	1.853e-08	Shapiro-Wilk normality test

If P < 0.05, the variable not normally distributed.

Normality: Sepal length

## 
## ---------------
## Variable: sepal_length
## ---------------

## 
## Normality Test

statistic	p.value	method
0.9756	0.009234	Shapiro-Wilk normality test

If P < 0.05, the variable not normally distributed.

Normality: Sepal Width

## 
## ---------------
## Variable: sepal_width
## ---------------

## 
## Normality Test

statistic	p.value	method
0.985	0.1062	Shapiro-Wilk normality test

If P < 0.05, the variable not normally distributed.

How same is the vraiables?

Wilcoxon: Sepal Width : Sepal Length

statistic	p.value	method	alternative
22199	0	Wilcoxon rank sum test with continuity correction	two.sided

If P < 0.05, we reject null hypothesis. mean of sepal_lngth not equal mean of Sepal_Width

Wilcoxon: Petal Width : Petal Length

statistic	p.value	method	alternative
19099	0	Wilcoxon rank sum test with continuity correction	two.sided

If P < 0.05, we reject null hypothesis. mean of petal_lngth not equal mean of petal_Width