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 = 1.4 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Tashiro
3
54 kgFukushima
7
62 kgBonča
8
63 kgKrupa
15
74 kgGerganov
21
60 kgKlostergaard
24
69 kgMifune
58
70 kg
3
54 kgFukushima
7
62 kgBonča
8
63 kgKrupa
15
74 kgGerganov
21
60 kgKlostergaard
24
69 kgMifune
58
70 kg
Weight (KG) →
Result →
74
54
3
58
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TASHIRO Yasutaka | 54 |
| 7 | FUKUSHIMA Shinichi | 62 |
| 8 | BONČA Valter | 63 |
| 15 | KRUPA Dawid | 74 |
| 21 | GERGANOV Evgeni | 60 |
| 24 | KLOSTERGAARD Kasper | 69 |
| 58 | MIFUNE Masahiko | 70 |