Table 3.3, Page 54: Supervisor Performance Data
get file 'D:p054.sav'. list.
y x1 x2 x3 x4 x5 x6
43 51 30 39 61 92 45
63 64 51 54 63 73 47
71 70 68 69 76 86 48
61 63 45 47 54 84 35
81 78 56 66 71 83 47
43 55 49 44 54 49 34
58 67 42 56 66 68 35
71 75 50 55 70 66 41
72 82 72 67 71 83 31
67 61 45 47 62 80 41
64 53 53 58 58 67 34
67 60 47 39 59 74 41
69 62 57 42 55 63 25
68 83 83 45 59 77 35
77 77 54 72 79 77 46
81 90 50 72 60 54 36
74 85 64 69 79 79 63
65 60 65 75 55 80 60
65 70 46 57 75 85 46
50 58 68 54 64 78 52
50 40 33 34 43 64 33
64 61 52 62 66 80 41
53 66 52 50 63 80 37
40 37 42 58 50 57 49
63 54 42 48 66 75 33
66 77 66 63 88 76 72
78 75 58 74 80 78 49
48 57 44 45 51 83 38
85 85 71 71 77 74 55
82 82 39 59 64 78 39
Number of cases read: 30 Number of cases listed: 30
Regression coefficients for page 57, equation (3.12)
regression /dependent = y /method = enter x1 x2.
Regression coefficients for page 57, equation (3.13)
regression /dependent = y /method = enter x1 /save resid (eyex1).
Regression coefficients for page 57, equation (3.14)
regression /dependent = x2 /method = enter x1 /save resid (ex2ex1).
Table 3.4, Page 58, Partial Residuals
list eyex1 ex2ex1.
eyex1 ex2ex1
-9.86142 -15.13003
.32865 -.79945
3.80099 13.12236
-.91674 -6.28642
7.76411 -2.98190
-12.87986 1.81784
-6.93518 -11.33855
.02794 -7.44280
-4.25432 10.96597
6.59248 -5.26035
9.62936 6.84390
7.34709 -2.74732
7.83787 6.22661
-9.00893 21.45294
4.51872 -4.46887
-1.29120 -15.13828
-4.51815 1.42688
5.34709 15.25268
-2.19901 -8.87764
-8.14369 19.27874
5.43929 -6.48668
3.59248 1.73965
-11.18057 -.82551
-2.29688 4.05241
7.87475 -4.66913
-6.48128 7.53113
7.02794 .55720
-9.38908 -4.20823
6.48185 8.42688
5.74568 -22.03403
Number of cases read: 30 Number of cases listed: 30
Regression coefficients for page 58, equation (3.15)
regression /dependent = eyex1 /method = enter ex2ex1.
Table 3.5, page 63. Regression Output for the Supervisor Performance Data
regression /dependent = y /method = enter x1 x2 x3 x4 x5 x6.
Hypothesis test for equations (3.36) and (3.37), and Table 3.7, page 67
regression /dependent = y /method = test(x1 x2 x3 x4 x5 x6).
Hypothesis test for equation (3.39) and Table 3.8, Page 69
regression /dependent = y /method = enter x1 x3 /method = test(x2 x4 x5 x6).
F-ratio test in middle of page 71, test whether
x1=x3
NOTE: SPSS does not allow direct testing for equal slopes, therefore we
have to use an incremental F-test using equation (3.48) and evaluate it using
the equation in the middle of page 71.
compute w = x1 + x3. exe. regression /dependent = y /method = enter w.
regression /dependent = y /method = enter x1 x3.
NOTE: F for x1=x3: [((.708-.669)/(2.1))/((1-.708)(30-2-1)) = 3.65.
Estimating and Testing of Regression Parameters under constraints, page 72-73
compute yprime = y - x3. compute v = x1-x3. exe. regression /dependent = yprime /method enter = v.
NOTE: The regression coefficient for x3 is 1 – v = .306.