The World’s Largest Companies database contains information on four variables: Sales, Profits, Assets, and Market Value for the 1700 largest companies in the world. There is an additional variable that displays the country in which the company headquarters is located. From the country information, an additional variable was created separating U.S. companies from others by assigning a 1 if it is a U.S. company and a 0 if it is not. A logistic regression analysis was done using Minitab in an effort to develop a model that could predict if a company was a U.S. company by the Market Value of the company. A partial printout of the results is shown below. Using the regression equation, what is the probability that a company with a market value of 300 is a U.S. company? If a market value is 10, what is the probability that a company is a U.S. company?

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Coefficients Term Coef SE Coef Constant 95% CI -1.1143 0.0646 (-1.2410, -0.9876) -17.24 Market Value 0.00485 0.00104 (0.00281, 0.00688) 4.67 Z-Value P-Value Regression Equation P(1) exp (Y')/(1+ exp (Y')) Y' = -1.1143 +0.00485 Market Value ($ B) 0.000 0.000