Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.3 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Pardini
2
68 kgSchets
3
74 kgKluge
7
83 kgWyss
8
65 kgStauff
11
82 kgvan Winden
16
70 kgPfingsten
24
69 kgMartin
26
75 kgDenifl
27
65 kgKohler
28
69 kgFröhlinger
31
62 kgSchär
34
78 kgLang
37
73 kgPöll
43
60 kgLudescher
47
72 kgKux
50
74 kgFrei
52
71 kgMollema
53
64 kgGastauer
57
73 kgDe Ketele
64
66 kgFrank
77
64 kgGretsch
95
69 kg
2
68 kgSchets
3
74 kgKluge
7
83 kgWyss
8
65 kgStauff
11
82 kgvan Winden
16
70 kgPfingsten
24
69 kgMartin
26
75 kgDenifl
27
65 kgKohler
28
69 kgFröhlinger
31
62 kgSchär
34
78 kgLang
37
73 kgPöll
43
60 kgLudescher
47
72 kgKux
50
74 kgFrei
52
71 kgMollema
53
64 kgGastauer
57
73 kgDe Ketele
64
66 kgFrank
77
64 kgGretsch
95
69 kg
Weight (KG) →
Result →
83
60
2
95
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PARDINI Olivier | 68 |
| 3 | SCHETS Steve | 74 |
| 7 | KLUGE Roger | 83 |
| 8 | WYSS Danilo | 65 |
| 11 | STAUFF Andreas | 82 |
| 16 | VAN WINDEN Dennis | 70 |
| 24 | PFINGSTEN Christoph | 69 |
| 26 | MARTIN Tony | 75 |
| 27 | DENIFL Stefan | 65 |
| 28 | KOHLER Martin | 69 |
| 31 | FRÖHLINGER Johannes | 62 |
| 34 | SCHÄR Michael | 78 |
| 37 | LANG Pirmin | 73 |
| 43 | PÖLL Stefan | 60 |
| 47 | LUDESCHER Philipp | 72 |
| 50 | KUX Christian | 74 |
| 52 | FREI Thomas | 71 |
| 53 | MOLLEMA Bauke | 64 |
| 57 | GASTAUER Ben | 73 |
| 64 | DE KETELE Kenny | 66 |
| 77 | FRANK Mathias | 64 |
| 95 | GRETSCH Patrick | 69 |