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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Cieślik
2
65 kgHollanders
3
70 kgSpokes
4
63 kgAlaphilippe
5
62 kgPavlič
6
65 kgKönig
7
62 kgPolanc
8
62 kgBárta
11
75 kgVakoč
12
68 kgBernas
13
77 kgSénéchal
14
77 kgCharucki
15
64 kgGradek
16
83 kgPauwels
17
60 kgMarycz
18
69 kgTratnik
19
67 kgČerný
23
75 kgKirsch
24
78 kgAlafaci
25
77 kgEzquerra
26
68 kg
2
65 kgHollanders
3
70 kgSpokes
4
63 kgAlaphilippe
5
62 kgPavlič
6
65 kgKönig
7
62 kgPolanc
8
62 kgBárta
11
75 kgVakoč
12
68 kgBernas
13
77 kgSénéchal
14
77 kgCharucki
15
64 kgGradek
16
83 kgPauwels
17
60 kgMarycz
18
69 kgTratnik
19
67 kgČerný
23
75 kgKirsch
24
78 kgAlafaci
25
77 kgEzquerra
26
68 kg
Weight (KG) →
Result →
83
60
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CIEŚLIK Paweł | 65 |
| 3 | HOLLANDERS Dries | 70 |
| 4 | SPOKES Samuel | 63 |
| 5 | ALAPHILIPPE Julian | 62 |
| 6 | PAVLIČ Marko | 65 |
| 7 | KÖNIG Leopold | 62 |
| 8 | POLANC Jan | 62 |
| 11 | BÁRTA Jan | 75 |
| 12 | VAKOČ Petr | 68 |
| 13 | BERNAS Paweł | 77 |
| 14 | SÉNÉCHAL Florian | 77 |
| 15 | CHARUCKI Paweł | 64 |
| 16 | GRADEK Kamil | 83 |
| 17 | PAUWELS Kevin | 60 |
| 18 | MARYCZ Jarosław | 69 |
| 19 | TRATNIK Jan | 67 |
| 23 | ČERNÝ Josef | 75 |
| 24 | KIRSCH Alex | 78 |
| 25 | ALAFACI Eugenio | 77 |
| 26 | EZQUERRA Jesús | 68 |