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Exhibit 16-7

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Exhibit 16-7.It is believed that the sales volume of one liter Pepsi bottles depends on the price of the bottle and the price of one liter bottle of Coca Cola.The following data has been collected for a certain sales region. Exhibit 16-7.It is believed that the sales volume of one liter Pepsi bottles depends on the price of the bottle and the price of one liter bottle of Coca Cola.The following data has been collected for a certain sales region.   Using Excel's regression,the linear model PepsiSales = β<sub>0</sub> + β<sub>1</sub>PepsiPrice + β<sub>2</sub>ColaPrice + ε and the log-log model ln(PepsiSales)= β<sub>0</sub> + β<sub>1</sub>ln(PepsiPrice)+ β<sub>2</sub>ln(ColaPrice)+ ε have been estimated as follows:   Refer to Exhibit 16.7.Using the estimated log-log model,calculate the predicted sales of Pepsi when the Pepsi price is $1.50 and the Cola price is $1.25. Using Excel's regression,the linear model PepsiSales = β0 + β1PepsiPrice + β2ColaPrice + ε and the log-log model ln(PepsiSales)= β0 + β1ln(PepsiPrice)+ β2ln(ColaPrice)+ ε have been estimated as follows: Exhibit 16-7.It is believed that the sales volume of one liter Pepsi bottles depends on the price of the bottle and the price of one liter bottle of Coca Cola.The following data has been collected for a certain sales region.   Using Excel's regression,the linear model PepsiSales = β<sub>0</sub> + β<sub>1</sub>PepsiPrice + β<sub>2</sub>ColaPrice + ε and the log-log model ln(PepsiSales)= β<sub>0</sub> + β<sub>1</sub>ln(PepsiPrice)+ β<sub>2</sub>ln(ColaPrice)+ ε have been estimated as follows:   Refer to Exhibit 16.7.Using the estimated log-log model,calculate the predicted sales of Pepsi when the Pepsi price is $1.50 and the Cola price is $1.25. Refer to Exhibit 16.7.Using the estimated log-log model,calculate the predicted sales of Pepsi when the Pepsi price is $1.50 and the Cola price is $1.25.


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