Question
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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