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Name Date Class LESSON 141 Scatter Plots and Association Practice and Problem-Solving: A/B 1. Use the given data to make a scatter plot. Calories and Fat Per Portion of Meat and Fish Food (Meat or
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How to fill out scatter plots and association

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How to fill out scatter plots and association?

01
Start by gathering your data points. A scatter plot is used to show the relationship between two variables, so you will need values for both variables. Make sure you have a sufficient number of data points to get a clear picture of the relationship.
02
Choose the appropriate scale for each variable. Look at your data and determine the range of values for each variable. Adjust the scale of the x and y axes of the scatter plot accordingly to ensure all data points are visible and evenly distributed.
03
Plot your data points on the scatter plot. For each data point, locate the corresponding value on the x-axis and y-axis, and mark it with a point. Repeat this process for all data points.
04
Identify any patterns or trends in the data. Look at the scatter plot and observe how the points are distributed. Are they clustered together or spread out? Is there a clear upward or downward trend? Take note of any associations or relationships that may be evident from the plot.
05
Determine the strength and direction of the association. To assess the strength of the association between the two variables, consider the distance between the data points and the line of best fit (if applicable). A closer clustering of points around the line indicates a stronger association. Additionally, determine the direction of the association by examining whether the points are moving from left to right, right to left, or if there is no discernible pattern.

Who needs scatter plots and association?

01
Researchers and scientists: Scatter plots and association are commonly used in research and scientific studies to analyze the relationship between variables. It helps in identifying patterns, trends, and correlations in data, allowing researchers to draw valid conclusions and make informed decisions.
02
Data analysts: Data analysts utilize scatter plots and association to visually represent data and identify any relationships between variables. It helps them in understanding and interpreting complex data sets, which can aid in making data-driven decisions and devising effective strategies.
03
Engineers and statisticians: Scatter plots and association are valuable tools for engineers and statisticians in analyzing data sets and identifying any cause-and-effect relationships between variables. By using scatter plots, they can identify potential correlations, outliers, or anomalies in the data, which can be crucial for making informed decisions in their respective fields.
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Scatter plots are graphical representations of individual data points in a two-dimensional space, used to display the relationship between two variables. Association refers to the presence of a relationship between two variables.
Certain industries or organizations may be required to file scatter plots and association based on regulatory requirements or internal policies.
To fill out scatter plots and association, data points for two variables need to be plotted on a graph and analyzed for any patterns or trends.
The purpose of scatter plots and association is to visually represent the relationship between two variables and identify any correlations or trends.
Information such as the two variables being analyzed, the data points plotted on the graph, any patterns or trends observed, and any analysis conducted must be reported on scatter plots and association.
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