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5. Scatterplot and Correlation for the Total Number of Wins and Average Points Scored You constructed a scatterplot of total number of wins and average

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5. Scatterplot and Correlation for the Total Number of Wins and Average Points Scored You constructed a scatterplot of total number of wins and average points scored. You also calculated the Pearson correlation coefficient along with its P-value. See Step 4 in the Python script to answer the following questions: In this activity, you generated a scatterplot of the total number of wins and average points Scored. Include a screenshot of this plot in your report. What do the scatterplot and the Pearson correlation coefficient tell you about the association between total number of wins and average points scored? Is the correlation coefficient statistically significant based on the P-value? Use a 1% level of significance.Total Number of Wins by Average Points Scored 70 60 50 Total Number of Wins 40 30 20 10 85 90 95 100 105 110 Average Points Scored Correlation between Average Points Scored and the Total Number of Wins Pearson Correlation Coefficient = 0.4777 P-value = 0.0

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