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 = 0.7 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Gerganov
13
60 kgBonča
17
63 kgKlostergaard
18
69 kgTashiro
34
54 kgMifune
36
70 kgFukushima
45
62 kgKrupa
50
74 kg
13
60 kgBonča
17
63 kgKlostergaard
18
69 kgTashiro
34
54 kgMifune
36
70 kgFukushima
45
62 kgKrupa
50
74 kg
Weight (KG) →
Result →
74
54
13
50
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | GERGANOV Evgeni | 60 |
| 17 | BONČA Valter | 63 |
| 18 | KLOSTERGAARD Kasper | 69 |
| 34 | TASHIRO Yasutaka | 54 |
| 36 | MIFUNE Masahiko | 70 |
| 45 | FUKUSHIMA Shinichi | 62 |
| 50 | KRUPA Dawid | 74 |