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 + 49
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
van der Werff
4
60 kgVandevorst
8
74 kgGiuliano
13
63 kgNielsen
19
60 kgCrabbe
20
70 kgDockx
23
61 kgJust Pedersen
53
80 kgHeymans
64
63 kgHemeryck
65
72 kgTabiner
76
88 kgAernouts
78
55 kgVlot
84
57 kgWeber
88
77 kgWidar
94
54 kgNagengast
103
62 kgMelsom-Johansen
113
70 kg
4
60 kgVandevorst
8
74 kgGiuliano
13
63 kgNielsen
19
60 kgCrabbe
20
70 kgDockx
23
61 kgJust Pedersen
53
80 kgHeymans
64
63 kgHemeryck
65
72 kgTabiner
76
88 kgAernouts
78
55 kgVlot
84
57 kgWeber
88
77 kgWidar
94
54 kgNagengast
103
62 kgMelsom-Johansen
113
70 kg
Weight (KG) →
Result →
88
54
4
113
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN DER WERFF Thom | 60 |
| 8 | VANDEVORST Nio | 74 |
| 13 | GIULIANO Dario | 63 |
| 19 | NIELSEN Daniel Weis | 60 |
| 20 | CRABBE Tom | 70 |
| 23 | DOCKX Gilles | 61 |
| 53 | JUST PEDERSEN Carl Emil | 80 |
| 64 | HEYMANS Yarno | 63 |
| 65 | HEMERYCK Wout | 72 |
| 76 | TABINER Raphael John | 88 |
| 78 | AERNOUTS Nicolas | 55 |
| 84 | VLOT Mees | 57 |
| 88 | WEBER Gino | 77 |
| 94 | WIDAR Jarno | 54 |
| 103 | NAGENGAST Ruud Junior | 62 |
| 113 | MELSOM-JOHANSEN Oliver | 70 |