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 = 0.4 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 7 | ANDRLE René | 70 |
| 9 | LISOWICZ Tomasz | 85 |
| 11 | BOMMEL Henning | 75 |
| 12 | KOMAR Mateusz | 73 |
| 17 | ZARGARI Amir | 62 |
| 31 | SAEIDI TANHA Abbas | 70 |
| 36 | SAPA Marcin | 82 |
| 38 | PAWLAK Wojciech | 73 |
| 39 | CHMIELEWSKI Piotr | 72 |
| 40 | KLUGE Roger | 83 |
| 41 | REIMER Martin | 69 |
| 42 | SOHRABI Mehdi | 69 |
| 54 | BENČÍK Petr | 73 |
| 63 | HAGHI Alireza | 78 |
| 66 | OJAVEE Mart | 80 |