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 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Heulot
2
69 kgMazzanti
3
64 kgStrauss
4
69 kgJan
5
62 kgAlbasini
8
65 kgVoskamp
9
75 kgHaselbacher
15
69 kgBonča
16
63 kgSchmitz
19
77 kgSentjens
20
75 kgScheirlinckx
21
78 kgGiling
24
72 kgBak
30
76 kgPietropolli
32
61 kgScheirlinckx
34
67 kgDe Groote
38
71 kgMouris
41
91 kgJohansen
48
78 kgCordes
55
70 kgDekkers
61
72 kgPeschel
67
72 kg
2
69 kgMazzanti
3
64 kgStrauss
4
69 kgJan
5
62 kgAlbasini
8
65 kgVoskamp
9
75 kgHaselbacher
15
69 kgBonča
16
63 kgSchmitz
19
77 kgSentjens
20
75 kgScheirlinckx
21
78 kgGiling
24
72 kgBak
30
76 kgPietropolli
32
61 kgScheirlinckx
34
67 kgDe Groote
38
71 kgMouris
41
91 kgJohansen
48
78 kgCordes
55
70 kgDekkers
61
72 kgPeschel
67
72 kg
Weight (KG) →
Result →
91
61
2
67
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HEULOT Stéphane | 69 |
| 3 | MAZZANTI Luca | 64 |
| 4 | STRAUSS Marcel | 69 |
| 5 | JAN Xavier | 62 |
| 8 | ALBASINI Michael | 65 |
| 9 | VOSKAMP Bart | 75 |
| 15 | HASELBACHER René | 69 |
| 16 | BONČA Valter | 63 |
| 19 | SCHMITZ Bram | 77 |
| 20 | SENTJENS Roy | 75 |
| 21 | SCHEIRLINCKX Staf | 78 |
| 24 | GILING Bas | 72 |
| 30 | BAK Lars Ytting | 76 |
| 32 | PIETROPOLLI Daniele | 61 |
| 34 | SCHEIRLINCKX Bert | 67 |
| 38 | DE GROOTE Thierry | 71 |
| 41 | MOURIS Jens | 91 |
| 48 | JOHANSEN Allan | 78 |
| 55 | CORDES Tom | 70 |
| 61 | DEKKERS Hans | 72 |
| 67 | PESCHEL Uwe | 72 |