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 - 67
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Fukushima
6
62 kgGerganov
7
60 kgTashiro
13
54 kgBonča
14
63 kgKrupa
19
74 kgKlostergaard
38
69 kgMifune
44
70 kg
6
62 kgGerganov
7
60 kgTashiro
13
54 kgBonča
14
63 kgKrupa
19
74 kgKlostergaard
38
69 kgMifune
44
70 kg
Weight (KG) →
Result →
74
54
6
44
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | FUKUSHIMA Shinichi | 62 |
| 7 | GERGANOV Evgeni | 60 |
| 13 | TASHIRO Yasutaka | 54 |
| 14 | BONČA Valter | 63 |
| 19 | KRUPA Dawid | 74 |
| 38 | KLOSTERGAARD Kasper | 69 |
| 44 | MIFUNE Masahiko | 70 |