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 = 1.3 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Kvist
1
68 kgSteensen
3
65 kgMagazzini
4
58 kgGastauer
5
73 kgStannard
6
83 kgGautier
7
65 kgJanse van Rensburg
9
63 kgBonnafond
10
68 kgPliușchin
12
66 kgSwift
17
69 kgBerdos
23
68 kgSaggiorato
29
58 kgMargot
31
65 kgMalori
33
68 kgBellis
34
69 kgVinther
40
68 kgTaramarcaz
42
64 kgLudescher
50
72 kgSchorn
66
72 kgBoaro
74
64 kgGuarnieri
90
80 kgVenter
100
70 kg
1
68 kgSteensen
3
65 kgMagazzini
4
58 kgGastauer
5
73 kgStannard
6
83 kgGautier
7
65 kgJanse van Rensburg
9
63 kgBonnafond
10
68 kgPliușchin
12
66 kgSwift
17
69 kgBerdos
23
68 kgSaggiorato
29
58 kgMargot
31
65 kgMalori
33
68 kgBellis
34
69 kgVinther
40
68 kgTaramarcaz
42
64 kgLudescher
50
72 kgSchorn
66
72 kgBoaro
74
64 kgGuarnieri
90
80 kgVenter
100
70 kg
Weight (KG) →
Result →
83
58
1
100
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVIST Thomas Vedel | 68 |
| 3 | STEENSEN André | 65 |
| 4 | MAGAZZINI Enrico | 58 |
| 5 | GASTAUER Ben | 73 |
| 6 | STANNARD Ian | 83 |
| 7 | GAUTIER Cyril | 65 |
| 9 | JANSE VAN RENSBURG Jacques | 63 |
| 10 | BONNAFOND Guillaume | 68 |
| 12 | PLIUȘCHIN Alexandr | 66 |
| 17 | SWIFT Ben | 69 |
| 23 | BERDOS Oleg | 68 |
| 29 | SAGGIORATO Mirco | 58 |
| 31 | MARGOT Arnaud | 65 |
| 33 | MALORI Adriano | 68 |
| 34 | BELLIS Jonathan | 69 |
| 40 | VINTHER Troels Rønning | 68 |
| 42 | TARAMARCAZ Julien | 64 |
| 50 | LUDESCHER Philipp | 72 |
| 66 | SCHORN Daniel | 72 |
| 74 | BOARO Manuele | 64 |
| 90 | GUARNIERI Jacopo | 80 |
| 100 | VENTER Jaco | 70 |