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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Leroux
3
79 kgWarbasse
4
67 kgPaleni
5
65 kgPenhoët
6
64 kgLonardi
7
70 kgDémare
8
76 kgPollefliet
9
74 kgBomboi
10
72 kgVandepitte
11
80 kgWærenskjold
12
92 kgAvoine
13
70 kgColnaghi
14
63 kgWeemaes
15
73 kgMaestri
16
73 kgAngulo
17
67 kgMartin
18
68 kgTesson
19
59 kgSalby
20
68 kg
3
79 kgWarbasse
4
67 kgPaleni
5
65 kgPenhoët
6
64 kgLonardi
7
70 kgDémare
8
76 kgPollefliet
9
74 kgBomboi
10
72 kgVandepitte
11
80 kgWærenskjold
12
92 kgAvoine
13
70 kgColnaghi
14
63 kgWeemaes
15
73 kgMaestri
16
73 kgAngulo
17
67 kgMartin
18
68 kgTesson
19
59 kgSalby
20
68 kg
Weight (KG) →
Result →
92
59
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LEROUX Samuel | 79 |
| 4 | WARBASSE Larry | 67 |
| 5 | PALENI Enzo | 65 |
| 6 | PENHOËT Paul | 64 |
| 7 | LONARDI Giovanni | 70 |
| 8 | DÉMARE Arnaud | 76 |
| 9 | POLLEFLIET Gianluca | 74 |
| 10 | BOMBOI Davide | 72 |
| 11 | VANDEPITTE Nathan | 80 |
| 12 | WÆRENSKJOLD Søren | 92 |
| 13 | AVOINE Kévin | 70 |
| 14 | COLNAGHI Luca | 63 |
| 15 | WEEMAES Sasha | 73 |
| 16 | MAESTRI Mirco | 73 |
| 17 | ANGULO Antonio | 67 |
| 18 | MARTIN David | 68 |
| 19 | TESSON Jason | 59 |
| 20 | SALBY Alexander | 68 |