Multiple regression for SPB survival data

Obs satkden blueden survival y
1 1.250 0.000 0.107 -2.23493
2 2.656 0.481 0.715 -0.33547
3 7.334 0.171 0.036 -3.32424
4 1.603 0.352 0.188 -1.67131
5 2.622 0.016 0.438 -0.82554
6 1.000 0.000 0.585 -0.53614
7 4.342 0.185 0.115 -2.16282
8 5.233 0.018 0.257 -1.35868
9 2.500 0.410 0.032 -3.44202
10 3.250 0.015 0.350 -1.04982
11 6.000 0.007 0.161 -1.82635
12 4.750 0.000 0.073 -2.61730
13 2.500 0.095 0.219 -1.51868
14 8.750 0.033 0.028 -3.57555
15 6.000 0.015 0.294 -1.22418
16 5.000 0.105 0.207 -1.57504
17 7.149 0.025 0.227 -1.48281
18 6.750 0.015 0.040 -3.21888
19 7.500 0.043 0.089 -2.41912
20 2.500 0.073 0.176 -1.73727
21 5.000 0.055 0.084 -2.47694
22 2.250 0.023 0.203 -1.59455
23 1.250 0.123 0.074 -2.60369
24 4.750 0.035 0.126 -2.07147
25 4.500 0.212 0.290 -1.23787
26 9.557 0.166 0.010 -4.60517
27 5.000 0.338 0.207 -1.57504
Multiple regression for SPB survival data; Plot of y by satkden y -5 -4 -3 -2 -1 0 satkden 1 2 3 4 5 6 7 8 9 10 Multiple regression for SPB survival data
Multiple regression for SPB survival data; Plot of y by blueden y -5 -4 -3 -2 -1 0 blueden 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 Multiple regression for SPB survival data

Multiple regression for SPB survival data

The REG Procedure

Model: MODEL1

Dependent Variable: y

Number of Observations Read 27
Number of Observations Used 27
Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 8.06683 4.03342 5.45 0.0112
Error 24 17.77492 0.74062    
Corrected Total 26 25.84175      
Root MSE 0.86059 R-Square 0.3122
Dependent Mean -2.01114 Adj R-Sq 0.2548
Coeff Var -42.79127    
Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate		 Tolerance Variance
Inflation		 95% Confidence Limits
Intercept 1 -0.84961 0.41094 -2.07 0.0496 0 . 0 -1.69775 -0.00146
satkden 1 -0.23905 0.07244 -3.30 0.0030 -0.56819 0.96676 1.03438 -0.38855 -0.08954
blueden 1 -0.80964 1.25300 -0.65 0.5243 -0.11125 0.96676 1.03438 -3.39571 1.77643

Multiple regression for SPB survival data

The REG Procedure

Model: MODEL1

Dependent Variable: y

Multiple regression for SPB survival data; Panel of fit diagnostics for y. Fit Diagnostics for y 0.2548 Adj R-Square 0.3122 R-Square 0.7406 MSE 24 Error DF 3 Parameters 27 Observations Proportion Less 0 1 Residual 0 1 Fit–Mean -1 1 -2.4 0 2.4 Residual 0 10 20 30 40 Percent 0 10 20 Observation 0.0 0.2 0.4 0.6 Cook's D -4 -3 -2 -1 Predicted Value -4 -1 y -2 -1 0 1 2 Quantile -1 0 1 Residual 0.1 0.2 0.3 Leverage -2 0 2 RStudent -3 -2 -1 Predicted Value -2 0 2 RStudent -3 -2 -1 Predicted Value -1 0 1 Residual
Multiple regression for SPB survival data; Panel of scatterplots of residuals by regressors for y. Residual by Regressors for y 0.0 0.1 0.2 0.3 0.4 0.5 blueden 2 4 6 8 10 satkden -1 0 1 Residual

Multiple regression for SPB survival data

The REG Procedure

Model: MODEL1

Partial Regression Residual Plot

Multiple regression for SPB survival data; Panel of partial regression scatterplots by regressors for y. Partial Plots for y Partial Regressor Residual Partial Dependent Residual -0.1 0.0 0.1 0.2 0.3 -2 -1 0 1 blueden -4 -2 0 2 4 -2 1 satkden -0.5 0.0 0.5 -2 -1 0 1 Intercept