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Scatter Plots and Lines of Best Fit1) Format: Poster2) Due: 12/08/20173) Work with only one partner or by yourself.4) Come up with a topic of your choice to collect data on two correlated items. For
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How to fill out scatter plots and lines

01
To fill out scatter plots and lines, follow these steps:
02
Determine the variables you want to plot. Typically, scatter plots involve two numerical variables, one for each axis.
03
Collect the data points for each variable. Ensure that you have enough data points to accurately represent the relationship between the variables.
04
Create a coordinate system or grid. Set the scale and range for each axis based on the minimum and maximum values of the variables.
05
Plot each data point on the grid. Mark a point at the intersection of the respective values on the x and y axes.
06
Connect the plotted points with a line if you want to display a trend or relationship between the variables. This is optional for scatter plots.
07
Add a title to the scatter plot and label the x and y axes to indicate the variables being plotted.
08
Add any additional elements such as a legend or data source citation if required.
09
Review and adjust the scatter plot if necessary. Double-check the accuracy of the plotted points and ensure the visual representation aligns with the intended analysis.
10
Interpret the scatter plot by analyzing the distribution of points, the trend (if present), and any outliers or patterns that emerge.
11
Use the scatter plot to support your analysis or communicate the relationship between the variables to others.

Who needs scatter plots and lines?

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Scatter plots and lines are useful for various individuals in different fields, including:
02
- Researchers and scientists who need to visualize and analyze the relationship between two variables in their data.
03
- Data analysts and statisticians who explore patterns and trends in datasets.
04
- Engineers and designers who want to understand how different factors influence the performance or characteristics of a system.
05
- Economists who study the correlations between economic indicators.
06
- Social scientists who investigate relationships and connections between different social variables.
07
- Students and educators learning and teaching statistics or data analysis.
08
- Business professionals who want to present data in a visually appealing and informative way to support decision-making or communicate results.
09
- Anyone who wants to explore and understand the relationship between two numerical variables.

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Scatter Plots and Lines of Best Fit template instructions

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Scatter plots and lines are graphical representations of data points on a coordinate plane.
Any individual or organization working with data that can benefit from visualizing relationships between variables.
To create a scatter plot, plot each data point on the plane. To add a line of best fit, use a mathematical model like linear regression to estimate the relationship.
The purpose is to visually display the relationship between two variables and identify patterns or correlations in the data.
The x and y values of each data point, as well as any labels or groupings for different data sets.
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