Using technology, it was determined that the total sum of squares (SST) was 1421.2 and the sum of squares due to error (SSE) was 903.51. Calculate R2 and determine its meaning. Round your answer to four decimal places.
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R² (coefficient of determination) is calculated using the formula: \[ R^2 = 1 - \frac{SSE}{SST} \] where SST is the total sum of squares and SSE is the sum of squares due to error. Show more…
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Using technology, it was determined that the total sum of squares (SST) was 3393 and the sum of squares due to error (SSE) was 639.2. Calculate R^2 and determine its meaning. Round your answer to four decimal places. Select the correct answer below: R^2 = 0.8116 Therefore, 81.16% of the variation in the observed y-values can be explained by the estimated regression equation. R^2 = 0.8116 Therefore, 0.8116% of the variation in the observed y-values can be explained by the estimated regression equation. R^2 = 0.1884 Therefore, 0.1884% of the variation in the observed y-values can be explained by the estimated regression equation. R^2 = 0.1884 Therefore, 18.84% of the variation in the observed y-values can be explained by the estimated regression equation.
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Given r^2 = 0.9311, SSR = 60.55. Compute: SSE SST Round to 2 decimal places.
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