Final answer:
The specific formulas for pre-market volume prediction are not given, but regression models can be used for predictions. For example, sales growth could be predicted using a regression equation like ¥ = 101.32 + 2.48x. For volume increase predictions involving gasoline, one could use an equation like AV gas = (P gas * V gas * AT) - (V spill).
Step-by-step explanation:
The formulas for pre-market volume prediction are not explicitly provided in the given information. However, I can provide guidance on how to approach regression modeling, which is a technique often used to predict sales growth, as mentioned in the question. In regression models, you create an equation based on historical data that can then be used to predict future trends. For example, if we are given a regression model for sales growth such as ¥ = 101.32 + 2.48x, we would use this equation to predict future sales. You insert the day number (x) into the equation to get the sales prediction (¥).
For a comprehensive prediction model, you may need to consider various factors such as historical volume data, stock movements, news sentiment, and market conditions. Regression analysis could be part of this, where you might need to calculate coefficients that best fit the historical data using methods such as least squares.
As per the given information, for a gasoline volume increase prediction, the provided formula is AV gas = (P gas * V gas * AT) - (V spill) after combining the original equations assuming the volumes are equal. This equation appears to be a simplification of the real-world relationship between pressure, temperature, and volume of a gas, potentially for a problem involving spills or leaks.