Here is the regression for the women's records for the same Scottish hill races we considered in
Question:
In Exercise 14
a) Compare the regression model for the women's records with that found for the men's records in Exercise 14.
Here's a scatter plot of the residuals for this regression:
b) Discuss the residuals and what they say about the assumptions and conditions for this regression.
Transcribed Image Text:
Dependent variable is: Time (mins) R-squared 98.0% R-squared (adjusted)-:98.0% s 6.623 with 90-3 87 degrees of freedom Source Sum of Squares df Mean Square F-rati Regression 189204 Residual Variable Intercept -10.3723 1245 8.33 <0.0001 Climb (m) Distance (km) 4.04204 0.1448 27.9 <0.0001 2 94602.1 2157 3815.92 87 43.8612 Coefficient SE(Coeff) t-ratio P-value 0.034227 0.0022 15.7 <0.0001
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Related Book For
Stats Data and Models
ISBN: 978-0321986498
4th edition
Authors: Richard D. De Veaux, Paul D. Velleman, David E. Bock
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