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 = 0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hoskins
1
64 kgEdmondson
2
66 kgSöderberg
6
60 kgKasper
9
59 kgKupfernagel
10
68 kgMoberg
11
56 kgPankova
12
52 kgSpratt
18
55 kgBurchenkova
27
67 kgWyman
34
56 kgKoedooder
35
69 kgBrzeźna
42
56 kgKitchen
44
60 kgPintar
56
56 kgBoyarskaya
57
67 kgHammes
60
54 kgVysotska
63
55 kgRitter
87
59 kgNorman Leth
115
68 kg
1
64 kgEdmondson
2
66 kgSöderberg
6
60 kgKasper
9
59 kgKupfernagel
10
68 kgMoberg
11
56 kgPankova
12
52 kgSpratt
18
55 kgBurchenkova
27
67 kgWyman
34
56 kgKoedooder
35
69 kgBrzeźna
42
56 kgKitchen
44
60 kgPintar
56
56 kgBoyarskaya
57
67 kgHammes
60
54 kgVysotska
63
55 kgRitter
87
59 kgNorman Leth
115
68 kg
Weight (KG) →
Result →
69
52
1
115
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKINS Melissa | 64 |
| 2 | EDMONDSON Annette | 66 |
| 6 | SÖDERBERG Isabelle | 60 |
| 9 | KASPER Romy | 59 |
| 10 | KUPFERNAGEL Hanka | 68 |
| 11 | MOBERG Emilie | 56 |
| 12 | PANKOVA Larisa | 52 |
| 18 | SPRATT Amanda | 55 |
| 27 | BURCHENKOVA Alexandra | 67 |
| 34 | WYMAN Helen | 56 |
| 35 | KOEDOODER Vera | 69 |
| 42 | BRZEŹNA Paulina | 56 |
| 44 | KITCHEN Lauren | 60 |
| 56 | PINTAR Urška | 56 |
| 57 | BOYARSKAYA Natalia | 67 |
| 60 | HAMMES Kathrin | 54 |
| 63 | VYSOTSKA Ievgeniia | 55 |
| 87 | RITTER Martina | 59 |
| 115 | NORMAN LETH Julie | 68 |