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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOLE Grega | 69 |
| 3 | SBARAGLI Kristian | 74 |
| 4 | OROZ Juan José | 71 |
| 5 | JANG Kyung-Gu | 64 |
| 8 | JANG Chan Jae | 64 |
| 9 | PARK Sung Baek | 73 |
| 11 | CARTHY Hugh | 69 |
| 12 | PRADES Benjamín | 56 |
| 14 | BENFATTO Marco | 71 |
| 16 | ANDERSON Jack | 68 |
| 17 | MALAGUTI Alessandro | 67 |
| 21 | BALIANI Fortunato | 66 |
| 22 | SEO Joon Yong | 66 |
| 24 | PERON Andrea | 70 |
| 28 | NORRIS Lachlan | 67 |
| 29 | LAPTHORNE Darren | 70 |
| 31 | HAIG Jack | 67 |
| 33 | CHOE Hyeong Min | 63 |