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 - 43
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Spratt
1
55 kgEdmondson
2
66 kgBurchenkova
5
67 kgVysotska
7
55 kgBrzeźna
11
56 kgBoyarskaya
13
67 kgPankova
14
52 kgKasper
17
59 kgSöderberg
20
60 kgKoedooder
25
69 kgHammes
27
54 kgKitchen
35
60 kgWyman
39
56 kgMoberg
41
56 kgHoskins
45
64 kgKupfernagel
47
68 kgPintar
50
56 kgNorman Leth
72
68 kgBates
95
69 kgRitter
108
59 kg
1
55 kgEdmondson
2
66 kgBurchenkova
5
67 kgVysotska
7
55 kgBrzeźna
11
56 kgBoyarskaya
13
67 kgPankova
14
52 kgKasper
17
59 kgSöderberg
20
60 kgKoedooder
25
69 kgHammes
27
54 kgKitchen
35
60 kgWyman
39
56 kgMoberg
41
56 kgHoskins
45
64 kgKupfernagel
47
68 kgPintar
50
56 kgNorman Leth
72
68 kgBates
95
69 kgRitter
108
59 kg
Weight (KG) →
Result →
69
52
1
108
# | Rider | Weight (KG) |
---|---|---|
1 | SPRATT Amanda | 55 |
2 | EDMONDSON Annette | 66 |
5 | BURCHENKOVA Alexandra | 67 |
7 | VYSOTSKA Ievgeniia | 55 |
11 | BRZEŹNA Paulina | 56 |
13 | BOYARSKAYA Natalia | 67 |
14 | PANKOVA Larisa | 52 |
17 | KASPER Romy | 59 |
20 | SÖDERBERG Isabelle | 60 |
25 | KOEDOODER Vera | 69 |
27 | HAMMES Kathrin | 54 |
35 | KITCHEN Lauren | 60 |
39 | WYMAN Helen | 56 |
41 | MOBERG Emilie | 56 |
45 | HOSKINS Melissa | 64 |
47 | KUPFERNAGEL Hanka | 68 |
50 | PINTAR Urška | 56 |
72 | NORMAN LETH Julie | 68 |
95 | BATES Katherine | 69 |
108 | RITTER Martina | 59 |