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Slide 1 / 96 Slide 2 / 96 Tables of Contents Scatter Plots Step, Absolute Value, Piece wise, Identity, and Constant Functions Graphing Inequalities Linear Relations and Functions Slide 3 / 96 Slide
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How to fill out a scatter plot graph:

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Start by collecting your data points. Identify the variables you want to plot on the graph.
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Use a grid or graph paper to draw the axes. The horizontal axis (x-axis) represents one variable, while the vertical axis (y-axis) represents the other variable.
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Label the axes appropriately with the variable names and units, if applicable.
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Determine the range of values for each variable and mark the appropriate intervals on the axes. This will help in determining the scale of the graph.
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Plot each data point on the graph by locating its corresponding coordinates on the axes. Place a dot or point at the intersection of the x and y values.
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Repeat step 5 for all data points, ensuring their accurate placement on the graph.
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If desired, you can label each data point with the corresponding value it represents, especially if there are specific data points of interest.
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Add a title to the graph that provides a clear description of the data being displayed.
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Consider including a legend or key to explain any symbols or colors used to represent different categories or groups within the data.
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Review the scatter plot graph and make any necessary adjustments to improve its readability and clarity.

Who needs a scatter plot graph:

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Researchers and scientists often use scatter plots to visualize the relationship between two variables. It allows them to analyze and interpret data, and identify any patterns or trends.
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Statisticians and data analysts utilize scatter plots to understand the correlation or association between different variables. This helps them make data-driven decisions and draw meaningful conclusions.
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Businesses and marketers may use scatter plots to analyze market trends, consumer behavior, and identify potential relationships between variables such as sales and advertising expenditure. This allows them to optimize marketing strategies and improve business performance.
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Anyone interested in exploring and understanding data can benefit from using scatter plots. It provides a visual representation of data points, making it easier to grasp the relationships and patterns that may exist.
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A scatter plot graph is a type of data visualization that shows the relationship between two variables by displaying data points on a graph.
Typically, researchers, data analysts, and scientists are required to create and file scatter plot graphs to visually represent data relationships.
To fill out a scatter plot graph, first collect the data points for the two variables being analyzed. Then, plot each data point on the graph with one variable on the x-axis and the other variable on the y-axis.
The purpose of a scatter plot graph is to visually represent the relationship between two variables, helping identify patterns, trends, and correlations in the data.
The scatter plot graph should include all data points for the two variables being analyzed, clearly labeled axes, and a title indicating the purpose of the graph.
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