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 = 0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KIENDYŚ Tomasz | 78 |
| 8 | BOMMEL Henning | 75 |
| 9 | LISOWICZ Tomasz | 85 |
| 11 | ANDRLE René | 70 |
| 14 | KOMAR Mateusz | 73 |
| 15 | ZARGARI Amir | 62 |
| 36 | SAEIDI TANHA Abbas | 70 |
| 39 | SAPA Marcin | 82 |
| 41 | PAWLAK Wojciech | 73 |
| 42 | REIMER Martin | 69 |
| 48 | CHMIELEWSKI Piotr | 72 |
| 50 | KLUGE Roger | 83 |
| 54 | SOHRABI Mehdi | 69 |
| 61 | BENČÍK Petr | 73 |
| 74 | HAGHI Alireza | 78 |
| 75 | OJAVEE Mart | 80 |
| 90 | JAKIN Alo | 71 |