Yale University, "Scatter Plot." (accessed ). , "Example of Scatter Plots." math/examples-of-scatterplots (accessed ). Shodor, "Scatter Plot." activities/ScatterPlot/ (accessed ). About half are multiple-choice and the other half is free response. Which best describes the relationship between the variables A) Strong positive correlation. This item is a handout consisting of 23 test questions. Psychwiki, "What is a Scatter Plot?." wiki/What_is_a_scatterplot%3F (accessed ). 2) This scatter plot shows a relationship between age and height. PBS.org, "Weather: Rainfall." mathline/concepts/weather/activit圓.shtm (accessed ). MathBits, "Scatter Plots." TISection/statistics1/scatterplot.htm (accessed Holt, Rinehart, and Winston, Lesson 4 - 7 Scatterplots. If you said "increasing temperature causes an increase in ice cream trucks" it would also mean that "an increase in ice cream trucks causes an increase in temperature." This is clearly a false statement.Ī, question/index?qid=20090930154953AA7slTu (accessed ).Ĭentral Virginia Governor's School, "Scatter Plot." (accessed ).ĭ, "HyperStat Correlation." hyperstat/A62692.html (accessed ).Įducation.ti.com, "How Tall is the Criminal?" educationportal/activityexchange/Activity.do?cid=US&aId=5915 (accessed ).Įmbracing Mathematics, Assessment & Technology in High Schools A Michigan Mathematics & Science Partnership Grant Project This is because there are two dependent variables. However, there is no causation - the increase in temperature does not cause the number of ice cream trucks to increase. These are a correlation because as temperature increases, so does the number of ice cream trucks. number of ice cream trucks on the street. Answer Keys - These are for all the unlocked materials above. In this case, there are two dependent variables. The strength of the relationship is determined by how closely the scatter plot follows a single straight line: the closer the points are to that line, the stronger the relationship. Matching Worksheet - Match the graphs and their trend line equations. Causation has one independent variable (whether or not the cup is upside down) and one dependent variable (whether or not the liquid falls on the floor.) It can be inferred that if there is liquid on the floor, the cup must have been turned upside down.Įxample 2 Correlation means that two things are related, but not necessarily cause-and-effect. There is no other possible reason that the liquid is on the floor other than the cup was turned upside down. Example 1 Suppose a cup is turned upside down and liquid falls on the floor. scatter plot, distinguish key ideas and describe the data in scatter plots.
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