Andy is trying to understand the factors which affect cigarette smoking among teenagers. He collects data...

 

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Andy is trying to understand the factors which affect cigarette smoking among teenagers. He collects data from 500 randomly selected teenagers and asks them whether they smoke (Smoker = 1) or not (Smoker = 0), whether at least one of their parents smokes (Parent = 1) or neither of their parents smoke (Parent = 0), whether at least one of their friends smokes (Friend = 1) or none of them smoke (Friend = 0), and their monthly family income (FamilyInc, in dollars). The estimated linear probability model is: :1) = 0.0302 +0.2913Parent +0.1574Friend-0.0006FamilyInc. (0.0157) (0.0175) (0.0374) (0.00026) Standard errors are given in parentheses. Suppose Drew's monthly family income is $400. Her mother smokes but her father does not; and, none of her friends smoke. The predicted probability that Drew would smoke is %. (Round your answer to two decimal places.) Pr Smoker = Andy is trying to understand the factors which affect cigarette smoking among teenagers. He collects data from 500 randomly selected teenagers and asks them whether they smoke (Smoker = 1) or not (Smoker = 0), whether at least one of their parents smokes (Parent = 1) or neither of their parents smoke (Parent = 0), whether at least one of their friends smokes (Friend = 1) or none of them smoke (Friend = 0), and their monthly family income (FamilyInc, in dollars). The estimated linear probability model is: :1) = 0.0302 +0.2913Parent +0.1574Friend-0.0006FamilyInc. (0.0157) (0.0175) (0.0374) (0.00026) Standard errors are given in parentheses. Suppose Drew's monthly family income is $400. Her mother smokes but her father does not; and, none of her friends smoke. The predicted probability that Drew would smoke is %. (Round your answer to two decimal places.) Pr Smoker =

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The estimated regression equation is Pr Smoker 1 00302 02913Parent ... View the full answer