standard_description: Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
problem_activity: Task
Bob’s Bagel Shop has estimated the following probabilities for the number of bagels a randomly-selected customer buys when he or she enters the shop.
{"table": [{"_attributes": {"class": ["centered", "narrow"]}, "tbody": [{"tr": [{"th": [{"_value": "No. of Bagels"}, {"_value": "Probability"}]}, {"td": [{"_value": "1"}, {"_value": ".5"}]}, {"td": [{"_value": "2"}, {"_value": ".1"}]}, {"td": [{"_value": "3"}, {"_value": ".1"}]}, {"td": [{"_value": "6"}, {"_value": ".1"}]}, {"td": [{"_value": "12"}, {"_value": ".2"}]}]}]}]}
Bob sells bagels for \$0.80 each, or \$9.00 for a dozen. If $X =$ the amount of money Bob collects from a randomly-selected customer, find and interpret the expected value of $X$.


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