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