In Chapter 7, (Data in Tompkins County Bridges 2014) we found a relationship between the age of
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Dependent variable is Condition
R-squared = 43.4% s = 0.7236
Variable Coefficient
Intercept ¦¦¦¦¦¦.. -37.7775
Year ¦¦¦¦¦¦¦¦. 0.02190
a) If we use this regression to predict the condition of the covered bridge, what would its residual be?
b) If we add the covered bridge to the data, what would you expect to happen to the regression slope? Explain.
c) If we add the covered bridge to the data, what would you expect to happen to the R2? Explain.
d) The bridge was extensively restored in 1972. If we use that date instead, do you find the condition of the bridge remarkable?
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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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