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 + 112
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Kupfernagel
1
68 kgSpratt
2
55 kgBoyarskaya
3
67 kgPankova
4
52 kgBurchenkova
6
67 kgKoedooder
9
69 kgKitchen
10
60 kgNorman Leth
27
68 kgBrzeźna
28
56 kgWyman
30
56 kgVysotska
36
55 kgHoskins
41
64 kgHammes
49
54 kgMoberg
51
56 kgEdmondson
53
66 kgSöderberg
54
60 kgKasper
56
59 kgRitter
65
59 kgPintar
79
56 kg
1
68 kgSpratt
2
55 kgBoyarskaya
3
67 kgPankova
4
52 kgBurchenkova
6
67 kgKoedooder
9
69 kgKitchen
10
60 kgNorman Leth
27
68 kgBrzeźna
28
56 kgWyman
30
56 kgVysotska
36
55 kgHoskins
41
64 kgHammes
49
54 kgMoberg
51
56 kgEdmondson
53
66 kgSöderberg
54
60 kgKasper
56
59 kgRitter
65
59 kgPintar
79
56 kg
Weight (KG) →
Result →
69
52
1
79
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUPFERNAGEL Hanka | 68 |
| 2 | SPRATT Amanda | 55 |
| 3 | BOYARSKAYA Natalia | 67 |
| 4 | PANKOVA Larisa | 52 |
| 6 | BURCHENKOVA Alexandra | 67 |
| 9 | KOEDOODER Vera | 69 |
| 10 | KITCHEN Lauren | 60 |
| 27 | NORMAN LETH Julie | 68 |
| 28 | BRZEŹNA Paulina | 56 |
| 30 | WYMAN Helen | 56 |
| 36 | VYSOTSKA Ievgeniia | 55 |
| 41 | HOSKINS Melissa | 64 |
| 49 | HAMMES Kathrin | 54 |
| 51 | MOBERG Emilie | 56 |
| 53 | EDMONDSON Annette | 66 |
| 54 | SÖDERBERG Isabelle | 60 |
| 56 | KASPER Romy | 59 |
| 65 | RITTER Martina | 59 |
| 79 | PINTAR Urška | 56 |