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O Best one is x2 = Climb O Best one is x1 = Distance

O Best one is x2 = Climb O Best one is x1 = Distance

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Scottish Hill Climb races We want to predict the record time for men in a Scottish Hill Climb race. There are two x variables to choose from, Distance and Climb. Here are the first few rows from the data table. Race Men (mins) Women(mins) Distance(km) Climb (m) Alva Games Hill Race 18.650 25.817 2.5 385 Aonach Mor Uphill Race 22.250 26.467 4.0 610 Arrochar Alps 187.650 249.433 25.0 2400 Choose the best single x variable to use to predict the record time for men with only Distance and Climb to choose from. Coefficients for Distance Term Coef SE Coef T-Value P-Value Constant -6.92 2.41 -2.87 0.005 Distance(km) 5.806 0.178 32.57 0.000 Model Summary for Distance R-sq R-sq(adj) R-sq(pred) 12.9402 92.42% 92.33% 91.20% Coefficients for Climb Term Coef SE Coef T-Value P-Value Constant 2.68 3.66 0.73 0.466 Climb (m) 0.08155 0.00434 18.81 0.000
Transcribed Image Text:Scottish Hill Climb races We want to predict the record time for men in a Scottish Hill Climb race. There are two x variables to choose from, Distance and Climb. Here are the first few rows from the data table. Race Men (mins) Women(mins) Distance(km) Climb (m) Alva Games Hill Race 18.650 25.817 2.5 385 Aonach Mor Uphill Race 22.250 26.467 4.0 610 Arrochar Alps 187.650 249.433 25.0 2400 Choose the best single x variable to use to predict the record time for men with only Distance and Climb to choose from. Coefficients for Distance Term Coef SE Coef T-Value P-Value Constant -6.92 2.41 -2.87 0.005 Distance(km) 5.806 0.178 32.57 0.000 Model Summary for Distance R-sq R-sq(adj) R-sq(pred) 12.9402 92.42% 92.33% 91.20% Coefficients for Climb Term Coef SE Coef T-Value P-Value Constant 2.68 3.66 0.73 0.466 Climb (m) 0.08155 0.00434 18.81 0.000
2.4 2.07 U.003 Distance(km). 5.806 0.178 32.57 0.000 Model Summary for Distance R-sq R-sq(adj) R-sq(pred) 12.9402 92.42% 92.33% 91.20% Coefficients for Climb Term Coef SE Coef T-Value P-Value Constant 2.68 3.66 0.73 0.466 Climb (m). 0.08155 0.00434 18.81 0.000 Model Summary for Climb R-sq R-sq(adj) R-sq(pred) 20.8822 80.26% 80.03% 79.34% O Best one is x2 = Climb O Best one is x1 = Distance
Transcribed Image Text:2.4 2.07 U.003 Distance(km). 5.806 0.178 32.57 0.000 Model Summary for Distance R-sq R-sq(adj) R-sq(pred) 12.9402 92.42% 92.33% 91.20% Coefficients for Climb Term Coef SE Coef T-Value P-Value Constant 2.68 3.66 0.73 0.466 Climb (m). 0.08155 0.00434 18.81 0.000 Model Summary for Climb R-sq R-sq(adj) R-sq(pred) 20.8822 80.26% 80.03% 79.34% O Best one is x2 = Climb O Best one is x1 = Distance
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