Would someone familiar with SPSS be able to help me complete the table and the questions?   (a) Explain which of the variables have statistically significant effects at the α = 0.05 level. (b) Are the conclusions different to the results obtained by univariate regression? Explain why and which approach is likely to be preferable?

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Would someone familiar with SPSS be able to help me complete the table and the questions?

 

(a) Explain which of the variables have statistically significant effects at the α = 0.05 level.

(b) Are the conclusions different to the results obtained by univariate regression? Explain why and which approach is likely to be preferable?

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10
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20
21
22
23
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25
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27
uca
220
182
166
162
137
136
128
113
100
90
75
71
60
60
43
42
37
29
24
22
15
3
1
36
31
21
12
dca
554
303
287
519
249
142
184
150
383
391
90
0
279
249
208
182
0
125
0
170
0
O
82
0
125
0
ㅇ
gfr
63
43
45
58
53
70
85
49
56
51
91
58
39
41
50
46
42
69
36
30
66
25
16
66
40
45
23
una
54
99
14
55
37
37
110
78
79
1
134
29
1
17
3
35
54
1
20
7
1
O
2
83
6
16
3
dp
80
48
53
70
82
36
56
25
101
76
28
0
41
37
41
50
0
42
0
54
0
O
27
0
42
O
O
Transcribed Image Text:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 uca 220 182 166 162 137 136 128 113 100 90 75 71 60 60 43 42 37 29 24 22 15 3 1 36 31 21 12 dca 554 303 287 519 249 142 184 150 383 391 90 0 279 249 208 182 0 125 0 170 0 O 82 0 125 0 ㅇ gfr 63 43 45 58 53 70 85 49 56 51 91 58 39 41 50 46 42 69 36 30 66 25 16 66 40 45 23 una 54 99 14 55 37 37 110 78 79 1 134 29 1 17 3 35 54 1 20 7 1 O 2 83 6 16 3 dp 80 48 53 70 82 36 56 25 101 76 28 0 41 37 41 50 0 42 0 54 0 O 27 0 42 O O
Model
uca =
R² =
F =
P =
+(
x dca) + (
x gfr) + (
x una) + (
x dp)
Transcribed Image Text:Model uca = R² = F = P = +( x dca) + ( x gfr) + ( x una) + ( x dp)
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