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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Tashiro
3
54 kgBonča
6
63 kgFukushima
8
62 kgKrupa
21
74 kgKlostergaard
30
69 kgGerganov
31
60 kgMifune
70
70 kg
3
54 kgBonča
6
63 kgFukushima
8
62 kgKrupa
21
74 kgKlostergaard
30
69 kgGerganov
31
60 kgMifune
70
70 kg
Weight (KG) →
Result →
74
54
3
70
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TASHIRO Yasutaka | 54 |
| 6 | BONČA Valter | 63 |
| 8 | FUKUSHIMA Shinichi | 62 |
| 21 | KRUPA Dawid | 74 |
| 30 | KLOSTERGAARD Kasper | 69 |
| 31 | GERGANOV Evgeni | 60 |
| 70 | MIFUNE Masahiko | 70 |