Final answer:
Historical sales data and weather conditions are typically considered when preparing a company's sales forecast. Famous quotes and fictional stories are not relevant for forecasting sales.
A simple regression model, such as ŷ = 101.32 + 2.48x, may be used to predict sales growth over time.
Step-by-step explanation:
When preparing a company's sales forecast, one would typically consider historical sales data and weather conditions, among other relevant factors. Historical sales data provide insight into past performance and trends which can be indicative of future sales patterns.
Weather conditions can directly influence consumer behavior and, in turn, sales, especially for certain industries or products. It is not usual to consider famous quotes or fictional stories as these do not provide a factual basis for sales predictions.
As part of the preparation for a sales forecast, a company might analyze models to predict sales growth, such as the simple regression model described with formula ŷ = 101.32 + 2.48x, where ŷ represents predicted sales in thousands of dollars and x is the day in the 90-day forecast.
For example, on day 60, the predicted sales would be ŷ = 101.32 + 2.48(60), resulting in predicted sales of $249.52 thousand.