Iris Sepal Width Predictor

Introduction

The Iris Sepal Width Predictor is a simple Shiny application that predicts the Sepal Width of an Iris flower based on its Sepal Length, Petal Length, and Petal Width.

Application Features

• User inputs for Sepal Length, Petal Length, and Petal Width.
• Predicts Sepal Width using a linear model.
• Displays the prediction dynamically based on user inputs.

How It Works

• The application uses the famous Iris dataset.
• A linear model is built using Sepal Length, Petal Length, and Petal Width as predictors.
• The model generates a prediction for Sepal Width based on user inputs.

Try It Out

• Link to Shiny App

## 
## Call:
## lm(formula = Sepal.Width ~ Sepal.Length + Petal.Length + Petal.Width, 
##     data = iris)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.88045 -0.20945  0.01426  0.17942  0.78125 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   1.04309    0.27058   3.855 0.000173 ***
## Sepal.Length  0.60707    0.06217   9.765  < 2e-16 ***
## Petal.Length -0.58603    0.06214  -9.431  < 2e-16 ***
## Petal.Width   0.55803    0.12256   4.553  1.1e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3038 on 146 degrees of freedom
## Multiple R-squared:  0.524,  Adjusted R-squared:  0.5142 
## F-statistic: 53.58 on 3 and 146 DF,  p-value: < 2.2e-16