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 = -1.7 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Krupa
17
74 kgKlostergaard
18
69 kgMifune
19
70 kgTashiro
39
54 kgFukushima
43
62 kgBonča
47
63 kgGerganov
48
60 kg
17
74 kgKlostergaard
18
69 kgMifune
19
70 kgTashiro
39
54 kgFukushima
43
62 kgBonča
47
63 kgGerganov
48
60 kg
Weight (KG) →
Result →
74
54
17
48
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | KRUPA Dawid | 74 |
| 18 | KLOSTERGAARD Kasper | 69 |
| 19 | MIFUNE Masahiko | 70 |
| 39 | TASHIRO Yasutaka | 54 |
| 43 | FUKUSHIMA Shinichi | 62 |
| 47 | BONČA Valter | 63 |
| 48 | GERGANOV Evgeni | 60 |