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Ten observations were provided for a dependent variable y and two independent variables  x1 and x2;  for these data, SST = 15,189.8 and SSR = 14,056.9. (a) Compute  R2.  (Round your answer to three decimal places.) R2 =  (b) Compute  Ra2.  (Round your answer to three decimal places.) Ra2 =  (c) Does the estimated regression equation explain a large amount of the variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to one decimal place.)     , after adjusting for the number of independent variables in the model, we see that  % of the variability in y has been accounted for.

Ten observations were provided for a dependent variable y and two independent variables  x1 and x2;  for these data, SST = 15,189.8 and SSR = 14,056.9. (a) Compute  R2.  (Round your answer to three decimal places.) R2 =  (b) Compute  Ra2.  (Round your answer to three decimal places.) Ra2 =  (c) Does the estimated regression equation explain a large amount of the variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to one decimal place.)     , after adjusting for the number of independent variables in the model, we see that  % of the variability in y has been accounted for.

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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Ten observations were provided for a dependent variable y and two independent variables 
x1 and x2;
 for these data,
SST = 15,189.8 and SSR = 14,056.9.
(a)
Compute 
R2.
 (Round your answer to three decimal places.)
R2 = 
(b)
Compute 
Ra2.
 (Round your answer to three decimal places.)
Ra2 = 
(c)
Does the estimated regression equation explain a large amount of the variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to one decimal place.)
    , after adjusting for the number of independent variables in the model, we see that  % of the variability in y has been accounted for.
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