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The biggest difference between supervised and unsupervised machine learning is that supervised machine learning requires the identification of a dependent variable, whereas unsupervised machine learning does not need to a dependent variable identified.
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In order to predict the number of heart attacks caused in a year in Illinois, a multiple regression model is used with the following explanatory variables. The coefficients of each of the variables are: Hypertension (yes/no) (4.67), Smoker (yes/no) (1.98), Moderate exercise three times per week (yes/no) (2.67), Bi-annual health check-ups (yes/no) (0.16). Which of these explanatory variables have the maximum impact on the response variable?
ByAdmin4. Question 4 In order to predict the number of heart attacks caused in a year in Illinois, a multiple regression model is used with the following explanatory variables. The…