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 - 49
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Jan
1
62 kgStrauss
2
69 kgHaselbacher
3
69 kgAlbasini
4
65 kgHeulot
7
69 kgSentjens
8
75 kgVoskamp
9
75 kgMazzanti
11
64 kgSchmitz
15
77 kgBak
21
76 kgGiling
22
72 kgScheirlinckx
28
67 kgPietropolli
29
61 kgScheirlinckx
34
78 kgDe Groote
35
71 kgCordes
39
70 kgMouris
46
91 kgDekkers
58
72 kg
1
62 kgStrauss
2
69 kgHaselbacher
3
69 kgAlbasini
4
65 kgHeulot
7
69 kgSentjens
8
75 kgVoskamp
9
75 kgMazzanti
11
64 kgSchmitz
15
77 kgBak
21
76 kgGiling
22
72 kgScheirlinckx
28
67 kgPietropolli
29
61 kgScheirlinckx
34
78 kgDe Groote
35
71 kgCordes
39
70 kgMouris
46
91 kgDekkers
58
72 kg
Weight (KG) →
Result →
91
61
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAN Xavier | 62 |
| 2 | STRAUSS Marcel | 69 |
| 3 | HASELBACHER René | 69 |
| 4 | ALBASINI Michael | 65 |
| 7 | HEULOT Stéphane | 69 |
| 8 | SENTJENS Roy | 75 |
| 9 | VOSKAMP Bart | 75 |
| 11 | MAZZANTI Luca | 64 |
| 15 | SCHMITZ Bram | 77 |
| 21 | BAK Lars Ytting | 76 |
| 22 | GILING Bas | 72 |
| 28 | SCHEIRLINCKX Bert | 67 |
| 29 | PIETROPOLLI Daniele | 61 |
| 34 | SCHEIRLINCKX Staf | 78 |
| 35 | DE GROOTE Thierry | 71 |
| 39 | CORDES Tom | 70 |
| 46 | MOURIS Jens | 91 |
| 58 | DEKKERS Hans | 72 |