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 - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lahsaini
8
77 kgGhebreindrias
9
68 kgBellan
11
61 kgBichlmann
14
72 kgMahďar
28
61 kgTybor
29
72 kgBosch
43
76 kg
8
77 kgGhebreindrias
9
68 kgBellan
11
61 kgBichlmann
14
72 kgMahďar
28
61 kgTybor
29
72 kgBosch
43
76 kg
Weight (KG) →
Result →
77
61
8
43
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LAHSAINI Mouhssine | 77 |
| 9 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 11 | BELLAN Juraj | 61 |
| 14 | BICHLMANN Daniel | 72 |
| 28 | MAHĎAR Martin | 61 |
| 29 | TYBOR Patrik | 72 |
| 43 | BOSCH Manuel | 76 |