The regression equation is Weight - 668 + 485 Length Predictor Constant Coef SE Coef -668.3 485.21 T P 232.8 -2.87 0.024 Length 90.63 5.35 0.001 S = 194.794 R-Sq = 80.4% R-Sq(adj) = 77.6%

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  1. Researchers studying tigers collected data on the length (in meters) and weight (in kilograms) of the animals. Is there statistically significant evidence that the length of tigers is related to their weight? 
The regression equation is
Weight = - 668 + 485 Length
Predictor
Coef SE Coef
T
P
Constant
-668.3
232.8 -2.87 0.024
Length
485.21
90.63
5.35 0.001
194.794
R-Sq
80.4%
R-Sq(adj) = 77.6%
S =
%3!
Transcribed Image Text:The regression equation is Weight = - 668 + 485 Length Predictor Coef SE Coef T P Constant -668.3 232.8 -2.87 0.024 Length 485.21 90.63 5.35 0.001 194.794 R-Sq 80.4% R-Sq(adj) = 77.6% S = %3!
Histogramof the Residuals
(response is Weight)
Scatterplot of Weight vs Length
1200어
1000-
1-
800-
G00-
400-
200
300
-200
-100
100
20
300
-400
0-
Residual
20
30
2.5
Length
15
3.5
4.0
Residuals Versus the Fitted Values
(response is Weighe)
400
300-
200-
100-
0-
-100어
-200-
-300-
-400-
200
400
600
800
1200
Rtted Value
Au anba
Transcribed Image Text:Histogramof the Residuals (response is Weight) Scatterplot of Weight vs Length 1200어 1000- 1- 800- G00- 400- 200 300 -200 -100 100 20 300 -400 0- Residual 20 30 2.5 Length 15 3.5 4.0 Residuals Versus the Fitted Values (response is Weighe) 400 300- 200- 100- 0- -100어 -200- -300- -400- 200 400 600 800 1200 Rtted Value Au anba
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