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 - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Turk
7
63 kgMuha
12
62 kgSkok
13
65 kgKokalj
16
68 kgJančič
17
68 kgOblak
18
76 kg
7
63 kgMuha
12
62 kgSkok
13
65 kgKokalj
16
68 kgJančič
17
68 kgOblak
18
76 kg
Weight (KG) →
Result →
76
62
7
18
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | TURK Aljaž | 63 |
| 12 | MUHA Luka | 62 |
| 13 | SKOK Marcel | 65 |
| 16 | KOKALJ Gašper | 68 |
| 17 | JANČIČ Klemen | 68 |
| 18 | OBLAK Domen | 76 |