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 = 15.6 * weight - 1050
This means that on average for every extra kilogram weight a rider loses 15.6 positions in the result.
Segaert
1
79 kgMilan
2
87 kgSheffield
3
73 kgPhilipsen
4
75 kgZingle
5
67 kgBissegger
6
78 kgFoss
7
74 kgWellens
8
71 kgPenhoët
9
64 kgTurner
10
74 kgThijssen
11
74 kgLaporte
12
76 kgTrentin
13
74 kgMaciejuk
14
78 kgViviani
15
67 kgSchachmann
16
71 kgBomboi
17
72 kgBettiol
18
69 kgGarcía Cortina
19
77 kgMerlier
991
76 kgVermeersch
991
81 kg
1
79 kgMilan
2
87 kgSheffield
3
73 kgPhilipsen
4
75 kgZingle
5
67 kgBissegger
6
78 kgFoss
7
74 kgWellens
8
71 kgPenhoët
9
64 kgTurner
10
74 kgThijssen
11
74 kgLaporte
12
76 kgTrentin
13
74 kgMaciejuk
14
78 kgViviani
15
67 kgSchachmann
16
71 kgBomboi
17
72 kgBettiol
18
69 kgGarcía Cortina
19
77 kgMerlier
991
76 kgVermeersch
991
81 kg
Weight (KG) →
Result →
87
64
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEGAERT Alec | 79 |
| 2 | MILAN Jonathan | 87 |
| 3 | SHEFFIELD Magnus | 73 |
| 4 | PHILIPSEN Jasper | 75 |
| 5 | ZINGLE Axel | 67 |
| 6 | BISSEGGER Stefan | 78 |
| 7 | FOSS Tobias | 74 |
| 8 | WELLENS Tim | 71 |
| 9 | PENHOËT Paul | 64 |
| 10 | TURNER Ben | 74 |
| 11 | THIJSSEN Gerben | 74 |
| 12 | LAPORTE Christophe | 76 |
| 13 | TRENTIN Matteo | 74 |
| 14 | MACIEJUK Filip | 78 |
| 15 | VIVIANI Elia | 67 |
| 16 | SCHACHMANN Maximilian | 71 |
| 17 | BOMBOI Davide | 72 |
| 18 | BETTIOL Alberto | 69 |
| 19 | GARCÍA CORTINA Iván | 77 |
| 991 | MERLIER Tim | 76 |
| 991 | VERMEERSCH Florian | 81 |