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 = -0 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Levarlet
1
67 kgArashiro
2
64 kgAckermann
3
62 kgKannemeyer
12
67 kgMiyazawa
16
61 kgLang
17
73 kgDevillers
19
62 kgBourgeois
23
61 kgDegand
25
63 kgFroome
29
68 kgGastauer
30
73 kgThomson
31
75 kgWyss
37
65 kgNakajima
39
64 kgDrujon
40
75 kgHollenstein
43
80 kgShimizu
44
60 kgKohler
46
69 kgHupond
56
65 kgAntomarchi
57
70 kgMartin
58
59 kgSaggiorato
68
58 kg
1
67 kgArashiro
2
64 kgAckermann
3
62 kgKannemeyer
12
67 kgMiyazawa
16
61 kgLang
17
73 kgDevillers
19
62 kgBourgeois
23
61 kgDegand
25
63 kgFroome
29
68 kgGastauer
30
73 kgThomson
31
75 kgWyss
37
65 kgNakajima
39
64 kgDrujon
40
75 kgHollenstein
43
80 kgShimizu
44
60 kgKohler
46
69 kgHupond
56
65 kgAntomarchi
57
70 kgMartin
58
59 kgSaggiorato
68
58 kg
Weight (KG) →
Result →
80
58
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEVARLET Guillaume | 67 |
| 2 | ARASHIRO Yukiya | 64 |
| 3 | ACKERMANN Silvère | 62 |
| 12 | KANNEMEYER Tiaan | 67 |
| 16 | MIYAZAWA Takashi | 61 |
| 17 | LANG Pirmin | 73 |
| 19 | DEVILLERS Gilles | 62 |
| 23 | BOURGEOIS Guillaume | 61 |
| 25 | DEGAND Thomas | 63 |
| 29 | FROOME Chris | 68 |
| 30 | GASTAUER Ben | 73 |
| 31 | THOMSON Jay Robert | 75 |
| 37 | WYSS Danilo | 65 |
| 39 | NAKAJIMA Yasuharu | 64 |
| 40 | DRUJON Mathieu | 75 |
| 43 | HOLLENSTEIN Reto | 80 |
| 44 | SHIMIZU Miyataka | 60 |
| 46 | KOHLER Martin | 69 |
| 56 | HUPOND Thierry | 65 |
| 57 | ANTOMARCHI Julien | 70 |
| 58 | MARTIN Dan | 59 |
| 68 | SAGGIORATO Mirco | 58 |