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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 is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the men: Coefficients for men: Term Coef SE Coef T-Value P-Value Constant -10.36 1.26 -8.23 0.000

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 is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the men: Coefficients for men: Term Coef SE Coef T-Value P-Value Constant -10.36 1.26 -8.23 0.000

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 is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the men: Coefficients for men: Term Coef SE Coef T-Value P-Value Constant -10.36 1.26 -8.23 0.000 Distance(km) 4.043 0.146 27.73 0.000 Climb (m) 0.03421 0.00220 15.57 0.000 Model Summary for men: R-sq R-sq(adj) R-sq(pred) 6.66081 98.01% 97.97% 97.77% If we are asked to carry out the hypothesis tests for the net regression coefficients using the information above, how many hypothesis tests should we be doing?
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 is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the men: Coefficients for men: Term Coef SE Coef T-Value P-Value Constant -10.36 1.26 -8.23 0.000 Distance(km) 4.043 0.146 27.73 0.000 Climb (m) 0.03421 0.00220 15.57 0.000 Model Summary for men: R-sq R-sq(adj) R-sq(pred) 6.66081 98.01% 97.97% 97.77% If we are asked to carry out the hypothesis tests for the net regression coefficients using the information above, how many hypothesis tests should we be doing?
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