To answer your questions regarding the given function \( y = 9000 \cdot 3^{-0.2x} \):
Part 1: Graph the function
First, let's analyze the function to determine what a graph of it looks like. The function represents an exponentially decaying pattern based on the value of \( x \) (number of weeks since the advertising campaign ended).
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The initial value \( y \) when \( x = 0 \) is: \[ y = 9000 \cdot 3^{0} = 9000 \cdot 1 = 9000 \text{ dollars} \]
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As \( x \) increases, the factor \( 3^{-0.2x} \) will decrease, causing \( y \) to decline.
To see how the sales change over time, let's calculate a few values:
- When \( x = 10 \): \[ y = 9000 \cdot 3^{-0.2 \cdot 10} = 9000 \cdot 3^{-2} = 9000 \cdot \frac{1}{9} = 1000 \text{ dollars} \]
- When \( x = 20 \): \[ y = 9000 \cdot 3^{-4} = 9000 \cdot \frac{1}{81} \approx 111.1 \text{ dollars} \]
- When \( x = 30 \): \[ y = 9000 \cdot 3^{-6} = 9000 \cdot \frac{1}{729} \approx 12.3 \text{ dollars} \]
From the calculated points and knowing it's an exponential decay, you can now choose the appropriate graph.
Graph Selection: Based on the computations:
- The function starts at 9000 when \( x = 0 \), falls to 1000 when \( x = 10 \), and approaches 0 as \( x \) increases further.
- Based on your descriptions, option A seems to align with these computed values best (the coordinates given correlate).
Part 2: Find weekly sales 10 weeks after the campaign ended
From our earlier calculation: At \( x = 10 \):
- Weekly sales = \( 1000 \) dollars.
Part 3: Comment on "It pays to advertise" for this store
This analysis shows that the sales figures significantly decrease after the advertising campaign ends, dropping from 9000 to 1000 dollars in just 10 weeks. This suggests that the impact of the advertising campaign had a pronounced effect on sales, and when the campaign ends, the sales also decline sharply.
Thus, it reinforces the idea that advertising is crucial for maintaining sales. Once the campaign concludes, the results sharply decline, illustrating the importance of ongoing marketing efforts to sustain sales levels. In essence, "It pays to advertise" for this store, as it directly correlates to maintaining higher sales figures.