BBREVENUE_Final(13.8)

BBREVENUE_Final(13.8) - Scatter Diagram 1200 1000 f(x) =...

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100 120 140 160 180 200 220 240 260 280 300 0 200 400 600 800 1000 1200 f(x) = 4.7305819789x - 368.2846228747 R² = 0.9334445651 Scatter Diagram Y = Value of the sport franchise($million) Line X Y Annual revenue($million)
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Confidence Interval Estimate Data X Value 150 Confidence Level 95% Intermediate Calculations Sample Size 30 Degrees of Freedom 28 t Value 2.0484071 XBar, Sample Mean of X 157.43333 Sum of Squared Differences from XBar 31597.367 Standard Error of the Estimate 42.433465 h Statistic 0.035082 Predicted Y (YHat) 341.30267 For Average Y Interval Half Width 16.280479 Confidence Interval Lower Limit 325.0222 Confidence Interval Upper Limit 357.5832 For Individual Response Y Interval Half Width 88.432554 Prediction Interval Lower Limit 252.8701 Prediction Interval Upper Limit 429.7352
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Durbin-Watson Calculations Sum of Squared Difference of Residuals 94062.15113 Sum of Squared Residuals 50416.77133 Durbin-Watson Statistic 1.8656916866
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100 120 140 160 180 200 220 240 260 280 300 -100 -50 0 50 100 150 X = Annual Revenue($million) Residual Plot X = Annual Revenue($million) Residuals
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-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 -100 -50 0 50 100 150 Normality Z Value Residuals
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Rank Proportion Z Value Residuals 1 0.0322581 -1.848596 -59.41675
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This note was uploaded on 03/26/2012 for the course MATH 104 taught by Professor Green during the Spring '10 term at Golden Gate.

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BBREVENUE_Final(13.8) - Scatter Diagram 1200 1000 f(x) =...

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