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 = 1.5 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Tashiro
4
54 kgFukushima
7
62 kgBonča
8
63 kgGerganov
17
60 kgKrupa
20
74 kgKlostergaard
25
69 kgMifune
51
70 kg
4
54 kgFukushima
7
62 kgBonča
8
63 kgGerganov
17
60 kgKrupa
20
74 kgKlostergaard
25
69 kgMifune
51
70 kg
Weight (KG) →
Result →
74
54
4
51
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TASHIRO Yasutaka | 54 |
| 7 | FUKUSHIMA Shinichi | 62 |
| 8 | BONČA Valter | 63 |
| 17 | GERGANOV Evgeni | 60 |
| 20 | KRUPA Dawid | 74 |
| 25 | KLOSTERGAARD Kasper | 69 |
| 51 | MIFUNE Masahiko | 70 |