A health researcher wants to be able to predict whether the incidence of heart disease can be predicted based on age, weight, gender and maximal aerobic capacity (VO₂max) (an indicator of fitness and health). To this end, the researcher recruited 100 participants to perform a maximum VO₂max test as well as recording their age, weight and gender. The participants were also evaluated for the presence of heart disease. Run a logistic regression to determine whether the presence of heart disease could be predicted from their VO₂max, age, weight and gender. Note: this data is fictitious. Give your answer showing the output from SPSS and your interpretation. The below columns are Case#, age, weight, gender, Vo2max, heart disease (from SPSS)

1 37 70.47 1.00 55.79 .00
3 46 87.65 1.00 42.93 1.00
4 36 89.80 .00 28.30 1.00
5 34 103.02 1.00 40.56 .00
6 39 77.37 .00 33.00 .00
7 34 82.48 1.00 43.48 .00
8 37 75.94 .00 30.38 .00
9 35 97.11 1.00 40.17 1.00
10 32 78.42 .00 36.01 .00
11 40 88.02 1.00 44.22 1.00
12 55 74.47 .00 38.76 1.00
13 35 75.98 .00 33.09 .00
14 46 58.97 .00 44.81 .00
15 33 111.80 1.00 31.94 .00
16 39 79.81 .00 34.48 .00
17 47 56.18 1.00 47.23 1.00
18 40 86.13 1.00 45.06 .00
19 46 87.30 1.00 55.12 .00
20 46 88.52 1.00 45.58 1.00
21 36 68.52 .00 37.52 .00
22 41 76.70 .00 36.27 .00
23 40 62.51 1.00 62.50 .00
24 34 60.90 .00 37.09 .00
25 36 53.43 1.00 44.27 1.00
26 33 68.52 .00 40.34 .00
27 55 72.37 1.00 55.19 1.00
28 48 82.16 .00 49.87 .00
29 40 90.92 1.00 38.06 1.00
30 31 95.51 1.00 48.13 .00
31 49 73.14 .00 42.42 1.00
32 36 62.59 1.00 48.23 1.00
33 38 91.38 1.00 42.96 1.00
34 51 94.29 1.00 42.53 1.00
35 50 58.07 1.00 40.90 .00
36 35 90.25 .00 27.35 .00
37 31 78.45 .00 38.70 .00
38 32 74.78 1.00 62.13 .00
39 43 85.13 1.00 45.69 .00
40 38 101.25 1.00 40.73 1.00
41 31 58.94 1.00 41.82 .00
42 47 101.06 1.00 35.60 1.00
43 31 97.75 1.00 42.20 .00
44 32 72.50 1.00 45.30 .00
45 37 88.45 1.00 40.02 1.00
46 34 72.29 1.00 47.17 .00
47 41 94.59 1.00 44.43 1.00
48 38 115.42 1.00 38.12 .00
49 40 51.96 .00 50.05 .00
50 41 89.35 1.00 48.64 .00
51 43 62.01 .00 36.49 .00
52 33 68.03 1.00 61.71 .00
53 39 79.39 .00 33.84 .00
54 35 81.91 .00 51.20 .00
55 42 64.00 .00 35.00 1.00
56 39 59.78 .00 47.71 .00
57 31 71.03 1.00 52.30 .00
58 44 50.00 .00 42.00 .00
60 41 112.59 1.00 37.34 1.00
61 74 73.38 .00 40.58 1.00
62 36 62.85 1.00 60.55 .00
63 55 68.29 .00 37.93 1.00
64 31 94.68 1.00 44.94 .00
65 38 103.23 1.00 35.01 1.00
66 55 81.01 1.00 45.57 .00
67 32 69.02 .00 36.63 .00
68 30 55.00 .00 60.00 .00
69 32 73.44 .00 40.52 .00
71 48 85.94 1.00 45.84 .00
72 40 64.65 1.00 60.92 .00
73 62 88.83 1.00 32.00 1.00
74 32 82.41 1.00 49.40 .00
75 33 63.00 .00 50.00 .00
76 63 78.67 .00 31.99 .00
77 43 95.10 1.00 39.90 1.00
78 51 87.05 1.00 47.16 .00
79 32 69.97 1.00 61.76 .00
80 36 90.63 .00 33.58 .00
81 42 92.43 1.00 47.26 .00
82 37 79.31 1.00 54.67 .00
83 33 80.61 1.00 49.68 .00
84 41 74.87 1.00 50.19 1.00
85 34 101.62 1.00 36.19 .00
86 35 74.70 1.00 57.64 .00
87 63 87.28 1.00 49.87 .00
88 43 72.57 .00 34.85 .00
89 42 75.82 .00 33.67 1.00
90 43 53.00 .00 42.00 .00
91 34 75.15 1.00 58.32 .00
92 50 103.53 1.00 45.23 1.00
93 33 79.65 .00 30.37 .00
94 36 70.84 1.00 55.91 .00
95 48 79.17 1.00 49.42 .00
96 42 111.98 1.00 33.73 1.00
97 43 88.07 1.00 49.22 1.00
98 45 94.07 1.00 41.97 1.00
99 58 97.46 1.00 35.20 1.00
100 61 93.76 1.00 32.00 1.00

Answer rating: 100% (QA)

Stored the data in c... View the full answer