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 = -0.4 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Stannard
1
83 kgSteensen
3
65 kgPliușchin
4
66 kgKvist
5
68 kgGautier
7
65 kgGastauer
9
73 kgMagazzini
12
58 kgBonnafond
16
68 kgJanse van Rensburg
21
63 kgSwift
22
69 kgBellis
23
69 kgMalori
25
68 kgSaggiorato
27
58 kgMargot
32
65 kgBerdos
33
68 kgLudescher
44
72 kgSchorn
47
72 kgTaramarcaz
73
64 kgVinther
74
68 kg
1
83 kgSteensen
3
65 kgPliușchin
4
66 kgKvist
5
68 kgGautier
7
65 kgGastauer
9
73 kgMagazzini
12
58 kgBonnafond
16
68 kgJanse van Rensburg
21
63 kgSwift
22
69 kgBellis
23
69 kgMalori
25
68 kgSaggiorato
27
58 kgMargot
32
65 kgBerdos
33
68 kgLudescher
44
72 kgSchorn
47
72 kgTaramarcaz
73
64 kgVinther
74
68 kg
Weight (KG) →
Result →
83
58
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STANNARD Ian | 83 |
| 3 | STEENSEN André | 65 |
| 4 | PLIUȘCHIN Alexandr | 66 |
| 5 | KVIST Thomas Vedel | 68 |
| 7 | GAUTIER Cyril | 65 |
| 9 | GASTAUER Ben | 73 |
| 12 | MAGAZZINI Enrico | 58 |
| 16 | BONNAFOND Guillaume | 68 |
| 21 | JANSE VAN RENSBURG Jacques | 63 |
| 22 | SWIFT Ben | 69 |
| 23 | BELLIS Jonathan | 69 |
| 25 | MALORI Adriano | 68 |
| 27 | SAGGIORATO Mirco | 58 |
| 32 | MARGOT Arnaud | 65 |
| 33 | BERDOS Oleg | 68 |
| 44 | LUDESCHER Philipp | 72 |
| 47 | SCHORN Daniel | 72 |
| 73 | TARAMARCAZ Julien | 64 |
| 74 | VINTHER Troels Rønning | 68 |