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 = 0.8 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Suzuki
3
60 kgMiura
5
67 kgFukushima
8
62 kgFujino
10
63 kgMcgrath
16
62 kgMcCann
22
73 kgMukaigawa
57
64 kg
3
60 kgMiura
5
67 kgFukushima
8
62 kgFujino
10
63 kgMcgrath
16
62 kgMcCann
22
73 kgMukaigawa
57
64 kg
Weight (KG) →
Result →
73
60
3
57
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SUZUKI Shinri | 60 |
| 5 | MIURA Kyoshi | 67 |
| 8 | FUKUSHIMA Shinichi | 62 |
| 10 | FUJINO Tomokazu | 63 |
| 16 | MCGRATH Seamus | 62 |
| 22 | MCCANN David | 73 |
| 57 | MUKAIGAWA Naoki | 64 |