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.
Vinther
1
68 kgSteensen
4
65 kgTaramarcaz
8
64 kgPliușchin
10
66 kgMagazzini
11
58 kgStannard
14
83 kgGautier
17
65 kgBerdos
18
68 kgGastauer
22
73 kgBonnafond
28
68 kgMalori
32
68 kgSaggiorato
40
58 kgSchorn
41
72 kgLudescher
43
72 kgMargot
44
65 kgJanse van Rensburg
46
63 kgBellis
51
69 kgSwift
52
69 kgKvist
58
68 kg
1
68 kgSteensen
4
65 kgTaramarcaz
8
64 kgPliușchin
10
66 kgMagazzini
11
58 kgStannard
14
83 kgGautier
17
65 kgBerdos
18
68 kgGastauer
22
73 kgBonnafond
28
68 kgMalori
32
68 kgSaggiorato
40
58 kgSchorn
41
72 kgLudescher
43
72 kgMargot
44
65 kgJanse van Rensburg
46
63 kgBellis
51
69 kgSwift
52
69 kgKvist
58
68 kg
Weight (KG) →
Result →
83
58
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINTHER Troels Rønning | 68 |
| 4 | STEENSEN André | 65 |
| 8 | TARAMARCAZ Julien | 64 |
| 10 | PLIUȘCHIN Alexandr | 66 |
| 11 | MAGAZZINI Enrico | 58 |
| 14 | STANNARD Ian | 83 |
| 17 | GAUTIER Cyril | 65 |
| 18 | BERDOS Oleg | 68 |
| 22 | GASTAUER Ben | 73 |
| 28 | BONNAFOND Guillaume | 68 |
| 32 | MALORI Adriano | 68 |
| 40 | SAGGIORATO Mirco | 58 |
| 41 | SCHORN Daniel | 72 |
| 43 | LUDESCHER Philipp | 72 |
| 44 | MARGOT Arnaud | 65 |
| 46 | JANSE VAN RENSBURG Jacques | 63 |
| 51 | BELLIS Jonathan | 69 |
| 52 | SWIFT Ben | 69 |
| 58 | KVIST Thomas Vedel | 68 |