A marketing analyst wants to examine the relationship between sales (in $100s) and advertising (in $100s) for firms in the food and beverage industry and collects monthly data for 25 firms. He estimates the model: Sale = 28.7*Advertising + 40.5 + ɛ with a standard deviation o = 25 (in S100s). With a budget of 3,000s on advertising, The probability that the sale is more than 92,000 is The probability that the sale is less than 89,000 is

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A marketing analyst wants to examine the relationship between sales (in $100s) and advertising (in $100s) for firms in the food
and beverage industry and collects monthly data for 25 firms. He estimates the model:
Sale = 28.7*Advertising + 40.5 + ɛ with a standard deviation o = 25 (in S100s).
With a budget of 3,000s on advertising,
The probability that the sale is more than 92,000 is
The probability that the sale is less than 89,000 is
Transcribed Image Text:A marketing analyst wants to examine the relationship between sales (in $100s) and advertising (in $100s) for firms in the food and beverage industry and collects monthly data for 25 firms. He estimates the model: Sale = 28.7*Advertising + 40.5 + ɛ with a standard deviation o = 25 (in S100s). With a budget of 3,000s on advertising, The probability that the sale is more than 92,000 is The probability that the sale is less than 89,000 is
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