13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between...

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13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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. 13. 32 Externalizing behavior, anxiety, and correlation: As part of their study on the relation between rejection and depression in adolescents (Nolan et al., 2003), researchers collected data on externalizing behaviors (e. g., acting out in negative ways, such as causing fights) and anxiety. They wondered whether externalizing behaviors were related to feelings of anxiety. Some of the data are presented in the accompanying table. Externalizing Behaviors 11 9 7 7 3 Anxiety 37 23 26 21 42 1332 Externalizing Behaviors. 6 2 6 6 9 Anxiety 33 26 35 23 28 a. Create a scatterplot of these data. Be sure to label both axes. 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? 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.

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Answer Solutions so No 2 3 5 6 Y 8 9 10 Externalizing Behaviours 9 7 7 3 11 6 2 6 6 9 ... View the full answer