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 = 2.5 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Widar
4
54 kgVlot
5
57 kgvan der Werff
6
60 kgNielsen
8
60 kgVandevorst
12
74 kgAernouts
13
55 kgHemeryck
17
72 kgGiuliano
19
63 kgHeymans
21
63 kgNagengast
36
62 kgJust Pedersen
46
80 kgWeber
56
77 kgMelsom-Johansen
65
70 kgDockx
66
61 kgCrabbe
76
70 kgJones
102
70 kgTabiner
115
88 kg
4
54 kgVlot
5
57 kgvan der Werff
6
60 kgNielsen
8
60 kgVandevorst
12
74 kgAernouts
13
55 kgHemeryck
17
72 kgGiuliano
19
63 kgHeymans
21
63 kgNagengast
36
62 kgJust Pedersen
46
80 kgWeber
56
77 kgMelsom-Johansen
65
70 kgDockx
66
61 kgCrabbe
76
70 kgJones
102
70 kgTabiner
115
88 kg
Weight (KG) →
Result →
88
54
4
115
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WIDAR Jarno | 54 |
| 5 | VLOT Mees | 57 |
| 6 | VAN DER WERFF Thom | 60 |
| 8 | NIELSEN Daniel Weis | 60 |
| 12 | VANDEVORST Nio | 74 |
| 13 | AERNOUTS Nicolas | 55 |
| 17 | HEMERYCK Wout | 72 |
| 19 | GIULIANO Dario | 63 |
| 21 | HEYMANS Yarno | 63 |
| 36 | NAGENGAST Ruud Junior | 62 |
| 46 | JUST PEDERSEN Carl Emil | 80 |
| 56 | WEBER Gino | 77 |
| 65 | MELSOM-JOHANSEN Oliver | 70 |
| 66 | DOCKX Gilles | 61 |
| 76 | CRABBE Tom | 70 |
| 102 | JONES Kyle | 70 |
| 115 | TABINER Raphael John | 88 |