B what does the scatterplot suggest about the

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b. What does the scatterplot suggest about the relation between these two variables?
c. Would it be appropriate to calculate a Pearson correlation coefficient? Explain your answer.
d. Construct a second scatterplot, but this time add a participant who scored 1 on externalizing behaviors and 45 on anxiety. Would you expect the correlation coefficient to be positive or negative now? Small in magnitude or large in magnitude? 12 10 8 6 4 2 0 45 40 35 30 25 20 Externalizing Behaviours Anxiety Scatterplot of Anxiety vs Externalizing Behaviours e. The Pearson correlation coefficient for the first set of data is 0.65; for the second set of
data it is 0.12. Explain why the correlation changed so much with the addition of just one participant.
15.36 Direction of a correlation: For each of the following pairs of variables, would you expect a positive correlation or a negative correlation between the two variables? Explain your answer. a. How hard the rain is falling and your commuting time
b. How often you say no to dessert and your body fat
c. The amount of wine you consume with dinner and your alertness after dinner Mental health and partial correlation: A study by Nolan and colleagues (2003) examined the relation be-tween externalizing behaviors (acting out) and anxiety in adolescents.
Depression has been shown to relate to both of these variables. What role might depression play in the observed positive relation between these variables? The correlation matrix below displays the Pearson correlation coefficients, as calculated by computer software, for each pair of the variables of interest: depression, externalizing, and anxiety. The Pearson correlation coefficients for each pair of variables are at the intersection in the chart of the two variables. For example, the correlation coefficient for the association between depression (top row) and externalizing (second column of correlations) is 0.635, a very strong positive correlation.

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