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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Oram
1
68 kgBurnett
2
73 kgvan Engelen
3
51 kgOliver
4
71 kgPhounsavath
9
67 kgClark
11
68 kgLebas
17
65 kgCarstensen
18
69 kgHeffernan
21
60 kgBower
23
63 kgLudman
27
66 kgPrice
28
77 kgMerseburg
30
75 kgNiquet-Olden
32
75 kgYamamoto
34
62 kgMudgway
36
65 kgWatts
37
72 kgGilbertson
39
68 kgGrave
40
69 kgMitchell
41
68 kgKergozou De La Boessiere
42
74 kg
1
68 kgBurnett
2
73 kgvan Engelen
3
51 kgOliver
4
71 kgPhounsavath
9
67 kgClark
11
68 kgLebas
17
65 kgCarstensen
18
69 kgHeffernan
21
60 kgBower
23
63 kgLudman
27
66 kgPrice
28
77 kgMerseburg
30
75 kgNiquet-Olden
32
75 kgYamamoto
34
62 kgMudgway
36
65 kgWatts
37
72 kgGilbertson
39
68 kgGrave
40
69 kgMitchell
41
68 kgKergozou De La Boessiere
42
74 kg
Weight (KG) →
Result →
77
51
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 2 | BURNETT Josh | 73 |
| 3 | VAN ENGELEN Adne | 51 |
| 4 | OLIVER Ben | 71 |
| 9 | PHOUNSAVATH Ariya | 67 |
| 11 | CLARK Boris | 68 |
| 17 | LEBAS Thomas | 65 |
| 18 | CARSTENSEN Lucas | 69 |
| 21 | HEFFERNAN William | 60 |
| 23 | BOWER Lewis | 63 |
| 27 | LUDMAN Joshua | 66 |
| 28 | PRICE Corby | 77 |
| 30 | MERSEBURG Dominik | 75 |
| 32 | NIQUET-OLDEN Bentley | 75 |
| 34 | YAMAMOTO Genki | 62 |
| 36 | MUDGWAY Luke | 65 |
| 37 | WATTS Kiaan | 72 |
| 39 | GILBERTSON Theo | 68 |
| 40 | GRAVE Oliver | 69 |
| 41 | MITCHELL Finn | 68 |
| 42 | KERGOZOU DE LA BOESSIERE Nick | 74 |