The following three equations were estimated using the 1,534 observations in 401K.RAW: prate = 80.29 + 5.44 mrate + .269 age – .00013 totemp (.045) (.78) (.52) (.00004) R = .100, R² = .098. prate = 97.32 + 5.02 mrate + .314 age – 2.66 log(totemp) (1.95) (0.51) (.044) (.28) R - .144, R² = .142. prate = 80.62 + 5.34 mrate + .290 age – .00043 totemp (.78) (.52) (.045) (.00009) + .0000000039 totemp² (.0000000010) R = .108, R² = .106. Which of these three models do you prefer? Why?
The following three equations were estimated using the 1,534 observations in 401K.RAW: prate = 80.29 + 5.44 mrate + .269 age – .00013 totemp (.045) (.78) (.52) (.00004) R = .100, R² = .098. prate = 97.32 + 5.02 mrate + .314 age – 2.66 log(totemp) (1.95) (0.51) (.044) (.28) R - .144, R² = .142. prate = 80.62 + 5.34 mrate + .290 age – .00043 totemp (.78) (.52) (.045) (.00009) + .0000000039 totemp² (.0000000010) R = .108, R² = .106. Which of these three models do you prefer? Why?
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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Transcribed Image Text:6.7 (4)
7 The following three equations were estimated using the 1,534 observations in 401K.RAW:
prate = 80.29 + 5.44 mrate + .269 age – .00013 totemp
(.045)
(.78) (.52)
(.00004)
R = .100, R² = .098.
prate = 97.32 + 5.02 mrate + .314 age – 2.66 log(totemp)
(1.95) (0.51)
(.044)
(.28)
R? = .144, R² = .142.
prate = 80.62 + 5.34 mrate + .290 age – .00043 totemp
(.045)
(.78) (.52)
(.00009)
+ .0000000039 totemp?
(.0000000010)
R? = .108, R² = .106.
Which of these three models do you prefer? Why?
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