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 = 0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | BOMMEL Henning | 75 |
| 11 | KLUGE Roger | 83 |
| 17 | REIMER Martin | 69 |
| 19 | ZARGARI Amir | 62 |
| 20 | KIENDYŚ Tomasz | 78 |
| 35 | LISOWICZ Tomasz | 85 |
| 37 | HAGHI Alireza | 78 |
| 42 | ANDRLE René | 70 |
| 43 | KOMAR Mateusz | 73 |
| 47 | PAWLAK Wojciech | 73 |
| 62 | CHMIELEWSKI Piotr | 72 |
| 66 | SOHRABI Mehdi | 69 |
| 76 | SAEIDI TANHA Abbas | 70 |
| 79 | OJAVEE Mart | 80 |
| 83 | SAPA Marcin | 82 |
| 85 | BENČÍK Petr | 73 |