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:
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
van der Werff
1
60 kgDockx
11
61 kgGiuliano
16
63 kgNielsen
17
60 kgHemeryck
24
72 kgNagengast
32
62 kgWeber
37
77 kgHeymans
58
63 kgCrabbe
66
70 kgVandevorst
77
74 kgAernouts
93
55 kgVlot
94
57 kgJust Pedersen
99
80 kgTabiner
101
88 kgWidar
107
54 kgMelsom-Johansen
117
70 kg
1
60 kgDockx
11
61 kgGiuliano
16
63 kgNielsen
17
60 kgHemeryck
24
72 kgNagengast
32
62 kgWeber
37
77 kgHeymans
58
63 kgCrabbe
66
70 kgVandevorst
77
74 kgAernouts
93
55 kgVlot
94
57 kgJust Pedersen
99
80 kgTabiner
101
88 kgWidar
107
54 kgMelsom-Johansen
117
70 kg
Weight (KG) →
Result →
88
54
1
117
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER WERFF Thom | 60 |
| 11 | DOCKX Gilles | 61 |
| 16 | GIULIANO Dario | 63 |
| 17 | NIELSEN Daniel Weis | 60 |
| 24 | HEMERYCK Wout | 72 |
| 32 | NAGENGAST Ruud Junior | 62 |
| 37 | WEBER Gino | 77 |
| 58 | HEYMANS Yarno | 63 |
| 66 | CRABBE Tom | 70 |
| 77 | VANDEVORST Nio | 74 |
| 93 | AERNOUTS Nicolas | 55 |
| 94 | VLOT Mees | 57 |
| 99 | JUST PEDERSEN Carl Emil | 80 |
| 101 | TABINER Raphael John | 88 |
| 107 | WIDAR Jarno | 54 |
| 117 | MELSOM-JOHANSEN Oliver | 70 |