Probability y 1x1 + x2 + x3 + x4 + x5 + X6 + x/ Estimated Coefficients: Estimate SE tStat pValue x2 x3 x5 x6 x7 X X X X X X X F (Intercept) -106.54 8.9378 x1 0.23368 0.28183 -11.92 0.82917 2.3258e-20 0.40916 0.22189 0.8365 0.26526 0.79141 4.4706 0.29967 x4 -0.47904 0.77121 14.919 -0.62115 2.7014e-26 0.53603 3.8758 0.18108 21.404 1.7028e-37 2.4659 -1.7085 0.10149 1.7704 24.295 -0.96504 8.3544e-42 0.33706 Number of observations: 100, Error degrees of freedom: 92 Root Mean Squared Error: 8.31 R-squared: 0.937, Adjusted R-Squared: 0.933 F-statistic vs. constant model: 197, p-value = 1.69e-52 0.25 0.2 0.15 0.1 0.05 T 0 -10 0 10 20 20 0.995 Normal probability plot of residuals 0.95 0.9 0.75 0.5 0.25 0.1 0.05 十 30 50 Probability Estimate SE tStat pValue (Intercept) -107.95 6.7881 x1 0.24203 0.27905 -15.902 0.86734 2.1368e-28 0.38796 x2 4.4374 0.29056 15.272 3.3536e-27 x3 3.9009 0.17563 22.211 3.5522e-39 x4 2.4603 x5 -1.8763 0.099994 1.7376 24.604 9.564e-43 -1.0798 0.28298 Number of observations: 100, Error degrees of freedom: 94 Root Mean Squared Error: 8.25 R-squared: 0.937, Adjusted R-Squared: 0.934 F-statistic vs. constant model: 280, p-value = 7.54e-55 0.25 0.2 0.15 0.1 0.05 0 -10 0 10 20 30 0.995 Normal probability plot of residuals 0.95 0.9 0.75 0.5 0.25 0.1 0.05 0.005 x -15 -10 -5 0 5 10 15 55 20 25 25 30 5 35
Probability y 1x1 + x2 + x3 + x4 + x5 + X6 + x/ Estimated Coefficients: Estimate SE tStat pValue x2 x3 x5 x6 x7 X X X X X X X F (Intercept) -106.54 8.9378 x1 0.23368 0.28183 -11.92 0.82917 2.3258e-20 0.40916 0.22189 0.8365 0.26526 0.79141 4.4706 0.29967 x4 -0.47904 0.77121 14.919 -0.62115 2.7014e-26 0.53603 3.8758 0.18108 21.404 1.7028e-37 2.4659 -1.7085 0.10149 1.7704 24.295 -0.96504 8.3544e-42 0.33706 Number of observations: 100, Error degrees of freedom: 92 Root Mean Squared Error: 8.31 R-squared: 0.937, Adjusted R-Squared: 0.933 F-statistic vs. constant model: 197, p-value = 1.69e-52 0.25 0.2 0.15 0.1 0.05 T 0 -10 0 10 20 20 0.995 Normal probability plot of residuals 0.95 0.9 0.75 0.5 0.25 0.1 0.05 十 30 50 Probability Estimate SE tStat pValue (Intercept) -107.95 6.7881 x1 0.24203 0.27905 -15.902 0.86734 2.1368e-28 0.38796 x2 4.4374 0.29056 15.272 3.3536e-27 x3 3.9009 0.17563 22.211 3.5522e-39 x4 2.4603 x5 -1.8763 0.099994 1.7376 24.604 9.564e-43 -1.0798 0.28298 Number of observations: 100, Error degrees of freedom: 94 Root Mean Squared Error: 8.25 R-squared: 0.937, Adjusted R-Squared: 0.934 F-statistic vs. constant model: 280, p-value = 7.54e-55 0.25 0.2 0.15 0.1 0.05 0 -10 0 10 20 30 0.995 Normal probability plot of residuals 0.95 0.9 0.75 0.5 0.25 0.1 0.05 0.005 x -15 -10 -5 0 5 10 15 55 20 25 25 30 5 35
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Hi, can you tell me if this is a good model. I tried taking out a predictor with a high p-value and R^2 adj improved slightly but im conecrned about my residuals. The
Transcribed Image Text:Probability
y 1x1 + x2 + x3 + x4 + x5 + X6 + x/
Estimated Coefficients:
Estimate
SE
tStat
pValue
x2
x3
x5
x6
x7
X X X X X X X F
(Intercept)
-106.54
8.9378
x1
0.23368
0.28183
-11.92
0.82917
2.3258e-20
0.40916
0.22189
0.8365
0.26526
0.79141
4.4706
0.29967
x4
-0.47904
0.77121
14.919
-0.62115
2.7014e-26
0.53603
3.8758
0.18108
21.404
1.7028e-37
2.4659
-1.7085
0.10149
1.7704
24.295
-0.96504
8.3544e-42
0.33706
Number of observations: 100, Error degrees of freedom: 92
Root Mean Squared Error: 8.31
R-squared: 0.937, Adjusted R-Squared: 0.933
F-statistic vs. constant model: 197, p-value = 1.69e-52
0.25
0.2
0.15
0.1
0.05
T
0
-10
0
10
20
20
0.995
Normal probability plot of residuals
0.95
0.9
0.75
0.5
0.25
0.1
0.05
十
30
50
Transcribed Image Text:Probability
Estimate
SE
tStat
pValue
(Intercept)
-107.95
6.7881
x1
0.24203
0.27905
-15.902
0.86734
2.1368e-28
0.38796
x2
4.4374
0.29056
15.272
3.3536e-27
x3
3.9009
0.17563
22.211
3.5522e-39
x4
2.4603
x5
-1.8763
0.099994
1.7376
24.604
9.564e-43
-1.0798
0.28298
Number of observations: 100, Error degrees of freedom: 94
Root Mean Squared Error: 8.25
R-squared: 0.937,
Adjusted R-Squared: 0.934
F-statistic vs. constant model: 280, p-value = 7.54e-55
0.25
0.2
0.15
0.1
0.05
0
-10
0
10
20
30
0.995
Normal probability plot of residuals
0.95
0.9
0.75
0.5
0.25
0.1
0.05
0.005 x
-15
-10
-5
0
5
10
15
55
20
25
25
30
5
35
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