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SCENARIO 14-3 Is a Measure of the Probability That Can

Question 142

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SCENARIO 14-3
is a measure of the probability that can
The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No") into its bundled program offering based on the price ($30, $40, $50, $60) and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No") using the data set of 100 customers collected from a survey. SCENARIO 14-3 is a measure of the probability that can The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch ( Yes or No ) into its bundled program offering based on the price ($30, $40, $50, $60) and whether the customer spends more than 5 hours a day watching TV ( Yes or No ) using the data set of 100 customers collected from a survey. -Referring to SCENARIO 14-3, what percentage of the variation in whether a customer will switch into its bundled program offering can be explained by the price and whether the customer spends more than 5 hours a day watching TV? SCENARIO 14-3 is a measure of the probability that can The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch ( Yes or No ) into its bundled program offering based on the price ($30, $40, $50, $60) and whether the customer spends more than 5 hours a day watching TV ( Yes or No ) using the data set of 100 customers collected from a survey. -Referring to SCENARIO 14-3, what percentage of the variation in whether a customer will switch into its bundled program offering can be explained by the price and whether the customer spends more than 5 hours a day watching TV?
-Referring to SCENARIO 14-3, what percentage of the variation in whether a customer will switch into its bundled program offering can be explained by the price and whether the customer spends more than 5 hours a day watching TV?

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