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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Graeme Allen | 76 |
| 2 | MILLER Graeme | 72 |
| 5 | MIYAZAWA Takashi | 61 |
| 7 | CAPPELLE Andy | 71 |
| 9 | MIURA Kyoshi | 67 |
| 12 | ZUCCONI Pietro | 63 |
| 15 | DAVIS Scott | 60 |
| 19 | CALCAGNI Patrick | 65 |
| 21 | DAVIS Allan | 73 |
| 22 | ABE Yoshiyuki | 67 |
| 25 | FUKUSHIMA Shinichi | 62 |
| 26 | APOLLONIO Massimo | 70 |
| 33 | SUZUKI Shinri | 60 |
| 35 | LUPEIKIS Remigius | 80 |
| 36 | TASHIRO Yasutaka | 54 |
| 46 | GUYTON Scott | 74 |
| 48 | GERRANS Simon | 62 |