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A. Complete the questions below. Be specific and provide examples when relevant. Draw a scatterplot Cite any sources consistent with APA guidelines. Question Answer Draw

A. Complete the questions below. Be specific and provide examples when relevant. Draw a scatterplot Cite any sources consistent with APA guidelines. Question Answer Draw a scatterplot of each of the following: A strong positive correlation A strong negative correlation A weak positive correlation A weak negative correlation Give a realistic example of each. What is the coefficient of determination? Why is it important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient? If a researcher wanted to predict how well a student might do in college, what variables do you think he or she might examine? What statistical procedure would he or she use? What is the meaning of the p value of a correlation coefficient? B. Look at the following table. What type of correlation coefficient would you use to examine the relationship between sex (defined as male or female) and political affiliation? How about family configuration (two-parent or single-parent) and high school GPA? Explain why you selected the answers you did. Level of Measurement and Examples Variable X Variable Y Type of correlation Correlation being computed Nominal (voting preference, such as Republican or Democrat) Nominal (gender, such as male or female) Phi coefficient The correlation between voting preference and gender Nominal (social class, such as high, medium, or low) Ordinal (rank in high school graduating class) Rank biserial coefficient The correlation between social class and rank in high school Nominal (family Interval (grade Point biserial The correlation between configuration, such as intact or single parent) point average) family configuration and grade point average Ordinal (height converted to rank) Ordinal (weight converted to rank) Spearman rank correlation coefficient The correlation between height and weight Interval (number of problems solved) Interval (age in years) Pearson productmoment correlation coefficient The correlation between number of problems solved and the age in years

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