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Use the following computer data, which refers to bear measurements, to answer the question. Dependent variable is Weight S = 32.49 R-Sq = 0.969 R-Sq (adj) = 0.946 Predidor Coef SE Coef T P. 3.64 0.022 -1.53 0.200 0.54 0.619 Constant -285.21 7845 -1.3838 0.9022 Age Head Width 11.24 20.88 Neck 28.594 5.870 4.87 0.007 Analysis of Variance Sum of Mean DF Squares Square 3 132425 44142 41.81 0.002 4223 1056 7 136648 Source F P. Regressi on Residual Error 4 Total Identify the adjusted value of the multiple coefficient of determination R2. 0.894 O 0.969 0.964 0.946

Use the following computer data, which refers to bear measurements, to answer the question. Dependent variable is Weight S = 32.49 R-Sq = 0.969 R-Sq (adj) = 0.946 Predidor Coef SE Coef T P. 3.64 0.022 -1.53 0.200 0.54 0.619 Constant -285.21 7845 -1.3838 0.9022 Age Head Width 11.24 20.88 Neck 28.594 5.870 4.87 0.007 Analysis of Variance Sum of Mean DF Squares Square 3 132425 44142 41.81 0.002 4223 1056 7 136648 Source F P. Regressi on Residual Error 4 Total Identify the adjusted value of the multiple coefficient of determination R2. 0.894 O 0.969 0.964 0.946

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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Use the following computer data, which refers to bear measurements, to answer the question. Dependent variable is Weight S = 32.49 R-Sq = 0.969 R-Sq (adj) = 0.946 %3D Predidor Coef SE Coef 7845 3.64| 0.022 -1.53 0.200 0.54 0.619 Constant 285.21 -1.3838 0.9022 Age Head Width 11.24 Neck 20.88 28.594 5.870 4.87 0.007 Analysis of Variance Sum of Mean DF Squares Square F 3 132425 44142 41.81 0.002 1056 Source P. Regression Residual Error 4 4223 Total 7 136648 Identify the adjusted value of the multiple coefficient of determination R2. O 0.894 O 0.969 O 0.964 0.946
Transcribed Image Text:Use the following computer data, which refers to bear measurements, to answer the question. Dependent variable is Weight S = 32.49 R-Sq = 0.969 R-Sq (adj) = 0.946 %3D Predidor Coef SE Coef 7845 3.64| 0.022 -1.53 0.200 0.54 0.619 Constant 285.21 -1.3838 0.9022 Age Head Width 11.24 Neck 20.88 28.594 5.870 4.87 0.007 Analysis of Variance Sum of Mean DF Squares Square F 3 132425 44142 41.81 0.002 1056 Source P. Regression Residual Error 4 4223 Total 7 136648 Identify the adjusted value of the multiple coefficient of determination R2. O 0.894 O 0.969 O 0.964 0.946
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