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 * weight - 22
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Boyarskaya
2
67 kgSpratt
3
55 kgPankova
4
52 kgBrzeźna
5
56 kgKasper
10
59 kgEdmondson
16
66 kgMoberg
17
56 kgNorman Leth
29
68 kgWyman
34
56 kgSöderberg
40
60 kgVysotska
43
55 kgHammes
49
54 kgBurchenkova
53
67 kgKitchen
63
60 kgRitter
73
59 kgKoedooder
75
69 kgHoskins
89
64 kgPintar
99
56 kg
2
67 kgSpratt
3
55 kgPankova
4
52 kgBrzeźna
5
56 kgKasper
10
59 kgEdmondson
16
66 kgMoberg
17
56 kgNorman Leth
29
68 kgWyman
34
56 kgSöderberg
40
60 kgVysotska
43
55 kgHammes
49
54 kgBurchenkova
53
67 kgKitchen
63
60 kgRitter
73
59 kgKoedooder
75
69 kgHoskins
89
64 kgPintar
99
56 kg
Weight (KG) →
Result →
69
52
2
99
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOYARSKAYA Natalia | 67 |
| 3 | SPRATT Amanda | 55 |
| 4 | PANKOVA Larisa | 52 |
| 5 | BRZEŹNA Paulina | 56 |
| 10 | KASPER Romy | 59 |
| 16 | EDMONDSON Annette | 66 |
| 17 | MOBERG Emilie | 56 |
| 29 | NORMAN LETH Julie | 68 |
| 34 | WYMAN Helen | 56 |
| 40 | SÖDERBERG Isabelle | 60 |
| 43 | VYSOTSKA Ievgeniia | 55 |
| 49 | HAMMES Kathrin | 54 |
| 53 | BURCHENKOVA Alexandra | 67 |
| 63 | KITCHEN Lauren | 60 |
| 73 | RITTER Martina | 59 |
| 75 | KOEDOODER Vera | 69 |
| 89 | HOSKINS Melissa | 64 |
| 99 | PINTAR Urška | 56 |