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Name: AccordinoMath 7M1L8Date: Period: Lesson 8: Identifying Proportional and Proportional Relationships in Graphs (Graph to Table) Bell ringer 1) What are the coordinates for point E? a. b. c. d.5,2
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How to fill out non-proportional relationships in graphs

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To fill out non-proportional relationships in graphs, follow these steps:
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Identify the given data points that represent the non-proportional relationship.
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Plot each data point on the graph using the corresponding values for the x-axis and y-axis.
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Pay attention to the pattern or trend of the plotted points. Non-proportional relationships often exhibit a curved or zigzag pattern.
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Use a best-fit line or curve to represent the general trend of the data. This can be done by drawing a line or curve that closely follows the majority of the plotted points.
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Add any necessary labels and units to the x-axis and y-axis to provide context for the data.
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Extend the line or curve beyond the given data points to represent possible values beyond the range of the given data, if applicable.
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Use the graph to make predictions or analyze the relationship between the variables involved.

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Non-proportional relationships in graphs are useful for various purposes and can be beneficial for:
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- Statisticians and data analysts who need to represent and analyze complex data sets.
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- Researchers who want to visualize and understand the relationship between variables.
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- Scientists and mathematicians who need to model and interpret non-linear phenomena.
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- Economists and business analysts who want to study trends and patterns in market data.
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- Engineers who need to analyze and design systems with non-linear relationships.
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Overall, anyone who wants to understand and communicate non-proportional relationships in a visual and meaningful way can benefit from using graphs.
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Non-proportional relationships in graphs refer to relationships between two variables where a change in one variable does not result in a consistent or proportional change in the other variable. These relationships can be represented in various ways on a graph, often showing curves or varying slopes.
Typically, entities that engage in reporting data that includes relationships between variables, such as companies and analysts in financial or scientific fields, may be required to file non-proportional relationships in graphs as part of their compliance or reporting obligations.
Filling out non-proportional relationships in graphs involves plotting data points that accurately represent the variations between two variables, ensuring that the graph reflects the nature of the relationship whether it's linear, curvilinear, or another form.
The purpose of illustrating non-proportional relationships in graphs is to provide a clear visualization of how two variables interact in a non-linear fashion, allowing for better analysis, understanding, and communication of data trends and implications.
Information that must typically be reported includes the data points representing the relationship, axes labels, scale, a legend if necessary, and any relevant statistical metrics or notes that clarify the nature of the relationship.
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