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Name: Extra Practice (1.7) Date: Determine whether a scatter plot of the data of the following might show a positive, negative, or no relationship. (lesson 1.7) 1) a persons jogging speed and time
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Point by point, here's how to fill out and determine whether a scatter:

01
Start by gathering the necessary data points or values that you want to analyze. These data points should have at least two variables that you want to compare.
02
Once you have your data points, plot them on a scatter plot. A scatter plot is a graph where each data point is represented by a dot on the graph.
03
Label the x-axis and y-axis of the scatter plot based on the variables you are comparing. For example, if you are comparing the temperature and sales, you might label the x-axis as temperature and the y-axis as sales.
04
Plot each data point on the graph by placing a dot at the corresponding values of the variables. For example, if the temperature is 30 degrees and the sales are $500, you would plot a dot at the point (30, 500) on the graph.
05
Once all data points are plotted, observe the pattern or trend that emerges on the scatter plot. Look for any relationship between the variables. It could be a positive correlation (as one variable increases, the other also increases), negative correlation (as one variable increases, the other decreases), or no correlation (no clear relationship between the variables).
06
Analyze the scatter plot further by calculating the correlation coefficient. The correlation coefficient measures the strength and direction of the relationship between the variables. It ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.

Now, who needs to determine whether a scatter?

01
Researchers and scientists often use scatter plots to analyze and visualize data in various fields such as sociology, economics, and psychology. They can help identify patterns, trends, and relationships between variables.
02
Data analysts and statisticians rely on scatter plots to understand and visualize the relationship between variables. This allows them to make informed decisions and predictions based on the data.
03
Business professionals and marketers can use scatter plots to analyze market trends, consumer behavior, and sales data. This helps them identify potential opportunities, target specific customer segments, and optimize business strategies.
In conclusion, filling out and determining whether a scatter involves gathering data, plotting it on a graph, observing patterns, analyzing the correlation coefficient, and drawing conclusions. Researchers, data analysts, statisticians, and business professionals are the ones who typically need to use scatter plots for data analysis and decision-making purposes.
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Determine whether a scatter refers to the process of evaluating if a data set exhibits a scattered or clustered pattern.
Anyone analyzing data sets or conducting statistical analysis may need to determine whether a scatter.
To fill out determining whether a scatter, one can use scatter plots to visually represent the data and assess the pattern.
The purpose of determining whether a scatter is to assess the distribution pattern of data points in a dataset.
The information reported on determining whether a scatter includes the position of data points in relation to each other on a plot.
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