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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Arslanov
1
63 kgCarboni
2
61 kgHerklotz
3
68 kgNych
5
74 kgScotson
7
76 kgViel
10
72 kgScotson
11
77 kgBauhaus
12
75 kgLeinau
13
70 kgStork
14
65 kgKurbatov
16
73 kgYechezkel
17
70 kgHadari
18
58 kgFritz
20
73 kgLowndes
21
82 kgLauk
23
69 kgVahtra
25
85 kgSagiv
26
68 kgAuer
27
73 kg
1
63 kgCarboni
2
61 kgHerklotz
3
68 kgNych
5
74 kgScotson
7
76 kgViel
10
72 kgScotson
11
77 kgBauhaus
12
75 kgLeinau
13
70 kgStork
14
65 kgKurbatov
16
73 kgYechezkel
17
70 kgHadari
18
58 kgFritz
20
73 kgLowndes
21
82 kgLauk
23
69 kgVahtra
25
85 kgSagiv
26
68 kgAuer
27
73 kg
Weight (KG) →
Result →
85
58
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARSLANOV Ildar | 63 |
| 2 | CARBONI Giovanni | 61 |
| 3 | HERKLOTZ Silvio | 68 |
| 5 | NYCH Artem | 74 |
| 7 | SCOTSON Miles | 76 |
| 10 | VIEL Mattia | 72 |
| 11 | SCOTSON Callum | 77 |
| 12 | BAUHAUS Phil | 75 |
| 13 | LEINAU Louis | 70 |
| 14 | STORK Florian | 65 |
| 16 | KURBATOV Alexey | 73 |
| 17 | YECHEZKEL Aviv | 70 |
| 18 | HADARI Zohar | 58 |
| 20 | FRITZ Fabian | 73 |
| 21 | LOWNDES Jason | 82 |
| 23 | LAUK Karl Patrick | 69 |
| 25 | VAHTRA Norman | 85 |
| 26 | SAGIV Guy | 68 |
| 27 | AUER Daniel | 73 |