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 = 0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dekkers
2
72 kgHaselbacher
3
69 kgMazzanti
5
64 kgBak
10
76 kgAlbasini
13
65 kgGiling
14
72 kgVoskamp
16
75 kgSchmitz
17
77 kgJan
23
62 kgStrauss
24
69 kgSentjens
25
75 kgScheirlinckx
28
78 kgHeulot
39
69 kgMouris
42
91 kgCordes
46
70 kgScheirlinckx
48
67 kgPietropolli
49
61 kgDe Groote
55
71 kg
2
72 kgHaselbacher
3
69 kgMazzanti
5
64 kgBak
10
76 kgAlbasini
13
65 kgGiling
14
72 kgVoskamp
16
75 kgSchmitz
17
77 kgJan
23
62 kgStrauss
24
69 kgSentjens
25
75 kgScheirlinckx
28
78 kgHeulot
39
69 kgMouris
42
91 kgCordes
46
70 kgScheirlinckx
48
67 kgPietropolli
49
61 kgDe Groote
55
71 kg
Weight (KG) →
Result →
91
61
2
55
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEKKERS Hans | 72 |
| 3 | HASELBACHER René | 69 |
| 5 | MAZZANTI Luca | 64 |
| 10 | BAK Lars Ytting | 76 |
| 13 | ALBASINI Michael | 65 |
| 14 | GILING Bas | 72 |
| 16 | VOSKAMP Bart | 75 |
| 17 | SCHMITZ Bram | 77 |
| 23 | JAN Xavier | 62 |
| 24 | STRAUSS Marcel | 69 |
| 25 | SENTJENS Roy | 75 |
| 28 | SCHEIRLINCKX Staf | 78 |
| 39 | HEULOT Stéphane | 69 |
| 42 | MOURIS Jens | 91 |
| 46 | CORDES Tom | 70 |
| 48 | SCHEIRLINCKX Bert | 67 |
| 49 | PIETROPOLLI Daniele | 61 |
| 55 | DE GROOTE Thierry | 71 |