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 - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZUCCONI Pietro | 63 |
| 3 | DAVIS Scott | 60 |
| 6 | CAPPELLE Andy | 71 |
| 8 | GUYTON Scott | 74 |
| 11 | MILLER Graeme | 72 |
| 13 | TASHIRO Yasutaka | 54 |
| 16 | MIURA Kyoshi | 67 |
| 23 | FUKUSHIMA Shinichi | 62 |
| 24 | SUZUKI Shinri | 60 |
| 25 | CALCAGNI Patrick | 65 |
| 28 | ABE Yoshiyuki | 67 |
| 29 | DAVIS Allan | 73 |
| 36 | LUPEIKIS Remigius | 80 |
| 39 | GERRANS Simon | 62 |
| 42 | APOLLONIO Massimo | 70 |
| 53 | MIYAZAWA Takashi | 61 |
| 65 | BROWN Graeme Allen | 76 |