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 + 64
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Krupa
5
74 kgKlostergaard
9
69 kgFukushima
16
62 kgTashiro
29
54 kgGerganov
30
60 kgBonča
34
63 kgMifune
52
70 kg
5
74 kgKlostergaard
9
69 kgFukushima
16
62 kgTashiro
29
54 kgGerganov
30
60 kgBonča
34
63 kgMifune
52
70 kg
Weight (KG) →
Result →
74
54
5
52
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KRUPA Dawid | 74 |
| 9 | KLOSTERGAARD Kasper | 69 |
| 16 | FUKUSHIMA Shinichi | 62 |
| 29 | TASHIRO Yasutaka | 54 |
| 30 | GERGANOV Evgeni | 60 |
| 34 | BONČA Valter | 63 |
| 52 | MIFUNE Masahiko | 70 |