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 = 0.7 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FUKUSHIMA Shinichi | 62 |
| 7 | MIURA Kyoshi | 67 |
| 10 | ABE Yoshiyuki | 67 |
| 12 | TASHIRO Yasutaka | 54 |
| 29 | MIFUNE Masahiko | 70 |
| 39 | FUJINO Tomokazu | 63 |
| 47 | DE GROOT Bram | 65 |
| 51 | SUZUKI Shinri | 60 |
| 53 | FUJITA Kozo | 58 |
| 62 | FERRARI Diego | 74 |