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One of the theories regarding initial public offering (IPO) pricing is that the initial return y (the percentage change from offer to open price) on

One of the theories regarding initial public offering (IPO) pricing is that the initial return y (the percentage change from offer to open price) on an IPO depends on the price revision x (the percentage change from pre-offer to offer price). Another factor that may influence the initial return is a high-tech dummy variable that equals 1 for high-tech firms and 0 otherwise. The following table shows a portion of the data on 264 IPO firms from January 2001 through September 2004. Initial Return Price Revision High-Tech 34.08 12.14 0 17.24 24.07 0 3.55 26.54 1 picture Click here for the Excel Data File a-1. Estimate y = o + 1x + 2d + where the dummy variable d equals 1 for firms that are high-tech. (Round your answers to 2 decimal places.) = + Price Revision + High-Tech a-2. Use the estimated model to predict the initial return of a high-tech firm with a 10% price revision. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) a-3. Find the corresponding predicted return of a firm that is not high-tech. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) b-1. Estimate y = o + 1x + 2d + where the dummy variable d equals 1 for firms that are not high-tech. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal place.) = + Price Revision + High-Tech b-2. Use the estimated model to predict the initial return of a high-tech firm with a 10% price revision. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) b-3. Find the corresponding predicted return of a firm that is not high-tech. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) c-1. In the high-tech models, determine if the dummy variable is significant at the 5% level. The dummy variable is significant since the p-value is less than 0.05. The dummy variable is not significant since the p-value is more than 0.05. The dummy variable is significant since the p-value is more than 0.05. The dummy variable is not significant since the p-value is less than 0.05. c-2. In the not high-tech models, determine if the dummy variable is significant at the 5% level. The dummy variable is significant since the p-value is less than 0.05. The dummy variable is not significant since the p-value is more than 0.05. The dummy variable is significant since the p-value is more than 0.05. The dummy variable is not significant since the p-value is less than 0.05.

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