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a) Technically, predicting the number of Wins (which can range from 0 to 16) is not a task for which we can use regression because
a) Technically, predicting the number of Wins (which can range from 0 to 16) is not a task for which we can use regression because the number of wins is an integer amount. Why does y being integer-valued violate the assumption that 8 ~ N (0, G)? Hint: read up about the Normal distribution and what kind of numbers it describes. Although a more sophisticated model is more appropriate, we can still learn a good deal about relationships between these variables, so let's proceed. b) Using all . correlations 0, nd the six variables that have the strongest correlations with Wins. Note: this command may take a while to nish. Note: XP in this dataset is an abbreviation for \"extra point.\
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