Presented by Mr. Laws JCMS

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Presentation transcript:

Presented by Mr. Laws JCMS Scatter Plots Presented by Mr. Laws JCMS

Standard 8.SP.1 – Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and non-linear association.

Essential question How do I construct and describe a cluster of data that plays a positive, negative, or no association between two quantities?

Key Vocabulary words A scatter plot is a graph, which order pairs are plotted to show a relationship between two sets of data. Bivariate data involves the relationship between the two sets of data. Cluster is a set of closely grouped data. Outlier is a data point that is not associated with the main cluster of data set. An association (correlation) explains the how the sets of data is related – positive, negative, none. Linear and Non-Linear Scatter Plots

WHAT IS A SCATTER PLOT? A scatter plot is a graph, which order pairs are plotted to show a relationship between two sets of data. Scatter plots relationships can be determined by the following: “Hours studied and Test Scores”. This is a Positive relationship. Why? “Number minutes a candle burns and a candle’s height.” This is a Negative Relationship. Why? “A person’s age and a person’s eye color”. This has No Relationship. Why?

Positive Association When reading the graph from left to right, if the scatter plots (cluster) slant upward, it has a positive association. The x value increases and y value increases. The tighter the cluster, the stronger the scatter plot. y y Strong Positive Association and Linear Association. x x

Negative Association When reading the graph from left to right, if the scatter plots (cluster) slant downward, it has a negative association. The x value increases and y value decreases. The tighter the cluster, the stronger the scatter plot. y y Strong Negative and Linear Association. x x

No Association When scatter plots are randomly scattered throughout the graph it has no association. The is no relationship between the x and y values. y x

Non - Linear Association When scatter plots related but do not show a straight line has a non linear association. Usually the pattern of data will show a upward or downward curve. y y Non-linear and exponential scatter plot. Non-linear and quadratic scatter plot. x x

Summary What have you learn in this lesson? What are the keys things to remember about this lesson? Is there any thing else you would like to know about this lesson?