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Correlation and Regression. Name: 1. Make a scatter plot using the following data about Body Mass Index (BMI) and Average Hours of Exercise Per Week (AHE PW) observed from male subjects, and explain
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How to fill out make a scatter plot

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How to Fill Out and Make a Scatter Plot:

01
Gather your data: Begin by collecting the data points that you want to display on the scatter plot. Make sure that you have pairs of data points, where each pair consists of an independent variable and a dependent variable.
02
Choose the correct axes: Decide which variable you want to plot on the x-axis (horizontal) and which variable you want to plot on the y-axis (vertical). This will depend on what you want to analyze or display in your scatter plot.
03
Determine the range for each axis: Look at the values of your data points for both variables and determine the appropriate range for each axis. Ensure that all data points are accommodated within the plot area.
04
Label the axes: Provide clear labels for the x-axis and the y-axis that indicate the variables being plotted. Include the units of measurement, if applicable.
05
Plot the data points: For each pair of data points, locate the corresponding x-value on the x-axis and the corresponding y-value on the y-axis. Place a point or marker at that intersection to represent the data point.
06
Add a title: Consider adding a concise title that captures the essence of your scatter plot. This title can summarize the relationship between the variables or the purpose of the plot.
07
Add optional features: To enhance your scatter plot, you may choose to add additional elements such as a legend, gridlines, or trend lines to show patterns or trends in the data.

Who Needs to Make a Scatter Plot:

01
Researchers: Scientists and researchers often use scatter plots to visualize and analyze data collected from experiments or studies. Scatter plots can help identify correlations, outliers, or clusters within the data.
02
Data analysts: Professionals working with large data sets can use scatter plots to gain insights into the relationships between variables. These plots can be useful in fields such as finance, marketing, and social sciences.
03
Students: Scatter plots are commonly used in educational settings to teach data visualization and analysis. Students studying statistics, mathematics, or any subject involving data analysis can benefit from creating and interpreting scatter plots.
In summary, anyone who wants to explore relationships between two variables or visualize data points can benefit from creating a scatter plot. It is a versatile tool that aids in data analysis and provides a visual representation of patterns or trends.
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A scatter plot is a type of data visualization that displays the relationship between two variables by placing points on a graph.
Anyone who wants to analyze the relationship between two variables can create a scatter plot.
To fill out a scatter plot, you need to collect data for two variables, then plot the points on a graph and observe the pattern.
The purpose of a scatter plot is to visually represent the relationship between two variables and identify any patterns or trends.
The information reported on a scatter plot includes the values of two variables and their corresponding points on the graph.
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