Medium1 markMultiple Choice
CPA · Question 08 · Area 1: Business Analysis
A company uses regression analysis to forecast sales based on advertising spend. The resulting equation is: Sales = $500,000 + (4.5 * Advertising Spend). The R-squared value is 0.85. <br/><br/>Management is considering increasing advertising spend by $100,000. Based on this model, what is the expected increase in Sales, and how reliable is this prediction?
A company uses regression analysis to forecast sales based on advertising spend. The resulting equation is: Sales = $500,000 + (4.5 * Advertising Spend). The R-squared value is 0.85. <br/><br/>Management is considering increasing advertising spend by $100,000. Based on this model, what is the expected increase in Sales, and how reliable is this prediction?
Answer options:
A.
Increase of $950,000; Low reliability.
B.
Increase of $450,000; Low reliability.
C.
Increase of $450,000; High reliability.
D.
Increase of $500,000; High reliability.
How to approach this question
1. Identify the slope (coefficient of X), which is 4.5. This means for every $1 ad spend, sales rise $4.5.<br/>2. Multiply slope by the change in X ($100,000).<br/>3. Interpret R-squared: 0 to 1 scale. 0.85 is strong.
Full Answer
C.Increase of $450,000; High reliability.✓ Correct
C
The coefficient 4.5 represents the variable relationship. Increase = 4.5 * $100,000 = $450,000. R-squared measures goodness of fit; 0.85 is generally considered a strong correlation in business contexts.
Common mistakes
Adding the intercept to the change; misinterpreting R-squared.
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