### Educational Content: Understanding Sepal Measurements in Iris Versicolor#### Sepal Characteristics DataThe table below provides data on sepal measurements for the species **Iris versicolor**. The dataset includes the sepal length and width in centimeters (cm).| Sepal Length | Sepal Width | Species ||--------------|-------------|----------------|| 7 | 3.2 | Iris-versicolor|| 6.4 | 3.2 | Iris-versicolor|| 6.9 | 3.1 | Iris-versicolor|| 5.5 | 2.3 | Iris-versicolor|| 6.5 | 2.8 | Iris-versicolor|| 5.7 | 2.8 | Iris-versicolor|| 6.3 | 3.3 | Iris-versicolor|| 4.9 | 2.4 | Iris-versicolor|| 6.6 | 2.9 | Iris-versicolor|| 5.2 | 2.7 | Iris-versicolor|| 5.9 | 3.0 | Iris-versicolor|| 6.2 | 2.2 | Iris-versicolor|| 6.1 | 2.9 | Iris-versicolor|| 5.6 | 3.0 | Iris-versicolor|| 5.9 | 3.0 | Iris-versicolor|| 6.7 | 3.1 | Iris-versicolor|| 5.8 | 2.7 | Iris-versicolor|| 5.6 | 2.5 | Iris-versicolor|| 6.3 | 3.4 | Iris-versicolor|| 5.2 | 2.3 | Iris-versicolor|| 5.7 | 2.8 | Iris-versicolor|| 6.6 | 3.0 | Iris-versicolor|| 5.7 | 2.9 | Iris-versicolor|| 5.8 | 2.8 | Iris-versicolor|| 6.1 | 2.9 | Iris-versicolor|| 6.4 ### 2.3.2: Excel: Linear Regression#### Click this link to download the spreadsheet for use in this activity.[Spreadsheet Download Link]### Jump to level 1The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are measured, all in cm: sepal length, sepal width, petal length, and petal width.**Question:** What is the equation for the least square regression line where the independent or predictor variable is sepal length, and the dependent or response variable is sepal width for iris versicolor?Equation: \[ \hat{y} = \text{Ex: 1.234} \cdot x + \text{Ex: 1.234} \]**Question:** What is the predicted sepal width for iris versicolor for a flower with a sepal length of 6.33?Predicted Sepal Width:\[ \text{Ex: 5.12 cm} \][Previous] [Check] [Next]

Let Y: Sepal width X: Sepal length The regression line of Y on X is, Y =b0+b1*X From the data, we…

The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are measured, all in cm: sepal length, sepal width, petal length, and petal width. What is the equation for the least square regression line where the independent or predictor variable is sepal length and the dependent or response variable is sepal width for iris versicolor? ý = Ex: 1.234 I+ Ex: 1.234 What is the predicted sepal width for iris versicolor for a flower with a sepal length of 6.33?

The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are measured, all in cm: sepal length, sepal width, petal length, and petal width. What is the equation for the least square regression line where the independent or predictor variable is sepal length and the dependent or response variable is sepal width for iris versicolor? ý = Ex: 1.234 I+ Ex: 1.234 What is the predicted sepal width for iris versicolor for a flower with a sepal length of 6.33?

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6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

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### Educational Content: Understanding Sepal Measurements in Iris Versicolor

#### Sepal Characteristics Data

The table below provides data on sepal measurements for the species **Iris versicolor**. The dataset includes the sepal length and width in centimeters (cm).

| Sepal Length | Sepal Width | Species |
|--------------|-------------|----------------|
| 7 | 3.2 | Iris-versicolor|
| 6.4 | 3.2 | Iris-versicolor|
| 6.9 | 3.1 | Iris-versicolor|
| 5.5 | 2.3 | Iris-versicolor|
| 6.5 | 2.8 | Iris-versicolor|
| 5.7 | 2.8 | Iris-versicolor|
| 6.3 | 3.3 | Iris-versicolor|
| 4.9 | 2.4 | Iris-versicolor|
| 6.6 | 2.9 | Iris-versicolor|
| 5.2 | 2.7 | Iris-versicolor|
| 5.9 | 3.0 | Iris-versicolor|
| 6.2 | 2.2 | Iris-versicolor|
| 6.1 | 2.9 | Iris-versicolor|
| 5.6 | 3.0 | Iris-versicolor|
| 5.9 | 3.0 | Iris-versicolor|
| 6.7 | 3.1 | Iris-versicolor|
| 5.8 | 2.7 | Iris-versicolor|
| 5.6 | 2.5 | Iris-versicolor|
| 6.3 | 3.4 | Iris-versicolor|
| 5.2 | 2.3 | Iris-versicolor|
| 5.7 | 2.8 | Iris-versicolor|
| 6.6 | 3.0 | Iris-versicolor|
| 5.7 | 2.9 | Iris-versicolor|
| 5.8 | 2.8 | Iris-versicolor|
| 6.1 | 2.9 | Iris-versicolor|
| 6.4

### 2.3.2: Excel: Linear Regression

#### Click this link to download the spreadsheet for use in this activity.
[Spreadsheet Download Link]

### Jump to level 1

The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are measured, all in cm: sepal length, sepal width, petal length, and petal width.

**Question:** What is the equation for the least square regression line where the independent or predictor variable is sepal length, and the dependent or response variable is sepal width for iris versicolor?

Equation:
\[ \hat{y} = \text{Ex: 1.234} \cdot x + \text{Ex: 1.234} \]

**Question:** What is the predicted sepal width for iris versicolor for a flower with a sepal length of 6.33?

Predicted Sepal Width:
\[ \text{Ex: 5.12 cm} \]

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