The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,802 and 1,760, respectively. a. Compute R2 (to 3 decimals). 0.976 b. Compute R (to 3 decimals). 0.990 c. Comment on the goodness of fit. The estimated regression equation provided an excellent fit ŷ= 17.6+3.71 -2.4z2+7.323 +2.524
The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,802 and 1,760, respectively. a. Compute R2 (to 3 decimals). 0.976 b. Compute R (to 3 decimals). 0.990 c. Comment on the goodness of fit. The estimated regression equation provided an excellent fit ŷ= 17.6+3.71 -2.4z2+7.323 +2.524
A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:The following estimated regression equation is based on 30 observations.
The values of SST and SSR are 1,802 and 1,760, respectively.
a. Compute R2 (to 3 decimals).
0.976
b. Compute R (to 3 decimals).
*
0.990
c. Comment on the goodness of fit.
The estimated regression equation provided an excellent fit
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Exercise 15.13 Algo (Multiple Coefficient of Determination)
mom
II
6
W
&
7
S
ŷ 17.6+3.7x1 -2.4x2 + 7.3x3 +2.5x4
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