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Answer: 0.98
## Explanation To determine the proportion of sales growth explained by the regression results, we calculate the **R-squared (coefficient of determination)**. **Formula:** \[ R^2 = \frac{SSR}{SST} = \frac{SSR}{SSR + SSE} \] Where: - SSR = Sum of Squared Regression = 869.76 - SSE = Sum of Squared Errors = 22.12 - SST = Total Sum of Squares = SSR + SSE **Calculation:** \[ SST = SSR + SSE = 869.76 + 22.12 = 891.88 \] \[ R^2 = \frac{869.76}{891.88} = 0.975 \approx 0.98 \] Therefore, **98% of the variation in sales growth is explained by the regression model**, indicating a very strong fit. **Interpretation:** - R² = 0.98 means the model explains 98% of the variance in the dependent variable - This is an excellent fit for a regression model - The remaining 2% is unexplained variation (captured in SSE)
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Sum of Squared Regression [SSR] = 869.76
Sum of Squared Errors [SSE] = 22.12
Determine what proportion of sales growth is explained by the regression results.
A
0.36
B
0.98
C
0.64
D
0.55
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