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 = -0.7 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Stannard
1
83 kgPliușchin
2
66 kgKvist
3
68 kgSteensen
4
65 kgGautier
6
65 kgBoaro
9
64 kgTaramarcaz
10
64 kgGastauer
14
73 kgMalori
15
68 kgBonnafond
19
68 kgSchorn
25
72 kgGuarnieri
26
80 kgSwift
29
69 kgBellis
37
69 kgSaggiorato
38
58 kgMagazzini
42
58 kgLudescher
48
72 kgJanse van Rensburg
52
63 kgVenter
58
70 kgMargot
76
65 kgBerdos
97
68 kgVinther
105
68 kg
1
83 kgPliușchin
2
66 kgKvist
3
68 kgSteensen
4
65 kgGautier
6
65 kgBoaro
9
64 kgTaramarcaz
10
64 kgGastauer
14
73 kgMalori
15
68 kgBonnafond
19
68 kgSchorn
25
72 kgGuarnieri
26
80 kgSwift
29
69 kgBellis
37
69 kgSaggiorato
38
58 kgMagazzini
42
58 kgLudescher
48
72 kgJanse van Rensburg
52
63 kgVenter
58
70 kgMargot
76
65 kgBerdos
97
68 kgVinther
105
68 kg
Weight (KG) →
Result →
83
58
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STANNARD Ian | 83 |
| 2 | PLIUȘCHIN Alexandr | 66 |
| 3 | KVIST Thomas Vedel | 68 |
| 4 | STEENSEN André | 65 |
| 6 | GAUTIER Cyril | 65 |
| 9 | BOARO Manuele | 64 |
| 10 | TARAMARCAZ Julien | 64 |
| 14 | GASTAUER Ben | 73 |
| 15 | MALORI Adriano | 68 |
| 19 | BONNAFOND Guillaume | 68 |
| 25 | SCHORN Daniel | 72 |
| 26 | GUARNIERI Jacopo | 80 |
| 29 | SWIFT Ben | 69 |
| 37 | BELLIS Jonathan | 69 |
| 38 | SAGGIORATO Mirco | 58 |
| 42 | MAGAZZINI Enrico | 58 |
| 48 | LUDESCHER Philipp | 72 |
| 52 | JANSE VAN RENSBURG Jacques | 63 |
| 58 | VENTER Jaco | 70 |
| 76 | MARGOT Arnaud | 65 |
| 97 | BERDOS Oleg | 68 |
| 105 | VINTHER Troels Rønning | 68 |