Men Women 61.7 42.8 72.6 57.9 55.4 62.1 60.4 74.2 75.3 75.4 49.1 65.2

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Compute the value of the correlation coefficient. Round answer to at least three decimal places.

### Life Expectancies Analysis

#### Overview
Is there a relationship between the life expectancy for men and the life expectancy for women in a given country? A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women. The goal is to determine if the variables are linearly related.

#### Data
Life expectancies for men and women from various nonindustrialized countries:

|          | Men  | Women |
|----------|------|-------|
| Country 1| 61.7 | 60.4  |
| Country 2| 42.8 | 74.2  |
| Country 3| 72.6 | 75.3  |
| Country 4| 57.9 | 75.4  |
| Country 5| 55.4 | 49.1  |
| Country 6| 62.1 | 65.2  |

*Note: The dataset can be exported to Excel by clicking the "Send data to Excel" button.*

#### Task
Part 1 of 5: Draw the scatter plot for the variables.

##### Scatter Plot: Life Expectancies
You are required to create a scatter plot to visualize the relationship between life expectancy for men and women.

###### Graphical Representation
- **X-axis**: Represents the life expectancy for men.
- **Y-axis**: Represents the life expectancy for women.

##### Diagram
The diagram on the screen provides a plotting grid with X and Y axes labeled "Life Expectancies". Tools adjacent to the diagram include:
- An eraser icon
- A pencil icon
- A grid icon

These tools are commonly used for drawing, editing, and organizing the scatter plot.

The graph is expected to place points on the grid corresponding to the life expectancies data listed above. Each point on the scatter plot will cross at the values for life expectancy in years for men (x-axis) and women (y-axis) from the dataset.
Transcribed Image Text:### Life Expectancies Analysis #### Overview Is there a relationship between the life expectancy for men and the life expectancy for women in a given country? A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women. The goal is to determine if the variables are linearly related. #### Data Life expectancies for men and women from various nonindustrialized countries: | | Men | Women | |----------|------|-------| | Country 1| 61.7 | 60.4 | | Country 2| 42.8 | 74.2 | | Country 3| 72.6 | 75.3 | | Country 4| 57.9 | 75.4 | | Country 5| 55.4 | 49.1 | | Country 6| 62.1 | 65.2 | *Note: The dataset can be exported to Excel by clicking the "Send data to Excel" button.* #### Task Part 1 of 5: Draw the scatter plot for the variables. ##### Scatter Plot: Life Expectancies You are required to create a scatter plot to visualize the relationship between life expectancy for men and women. ###### Graphical Representation - **X-axis**: Represents the life expectancy for men. - **Y-axis**: Represents the life expectancy for women. ##### Diagram The diagram on the screen provides a plotting grid with X and Y axes labeled "Life Expectancies". Tools adjacent to the diagram include: - An eraser icon - A pencil icon - A grid icon These tools are commonly used for drawing, editing, and organizing the scatter plot. The graph is expected to place points on the grid corresponding to the life expectancies data listed above. Each point on the scatter plot will cross at the values for life expectancy in years for men (x-axis) and women (y-axis) from the dataset.
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