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Step 5 : State a real world conclusion Specifically, is there evidence that bill depth can be used to predict body mass ,in the population

Step 5: State a "real world" conclusion

Specifically, is there evidence that bill depth can be used to predict body mass,in the population of all Gentoo penguins?

Question set 2B:

The first penguin in this sample had a bill depth of 13.2 mm. Using the regression equation you provided above, compute the predicted body mass for this penguin. Show your work.

Question set 2C:

The first penguin in this sample had an actual body mass of 4500 grams. Using this value and the predicted value you computed in the previous question, compute the residual for the first penguin in this sample.

Hint: residual = actual body mass in the data set - predicted body mass

Regression Equation

body_mass_g = -459 +369.4bill_depth_mm

Coefficients

Term Coef SE Coef T-Value P-Value VIF
Constant -459 487 -0.94 0.348
bill_depth_mm 369.4 32.5 11.38 0.000 1.00

Model Summary

S R-sq R-sq(adj) R-sq(pred)
351.766 51.71% 51.31% 50.06%

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value
Regression 1 16031778 16031778 129.56 0.000
bill_depth_mm 1 16031778 16031778 129.56 0.000
Error 121 14972470 123739
Lack-of-Fit 37 4360985 117864 0.93 0.583
Pure Error 84 10611484 126327
Total 122 31004248

Fits and Diagnostics for Unusual Observations

Obs body_mass_g Fit Resid Std Resid
14 5850.0 4934.8 915.2 2.61 R
15 4200.0 4934.8 -734.8 -2.10 R
18 6300.0 5156.5 1143.5 3.26 R
21 5700.0 4824.0 876.0 2.51 R
27 4100.0 4824.0 -724.0 -2.07 R
38 5250.0 5932.3 -682.3 -1.99 X
86 5600.0 5932.3 -332.3 -0.97 X

R Large residual X Unusual X

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