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 = -1.6 * weight + 124
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAKAJIMA Yasuharu | 64 |
| 3 | ZARGARI Amir | 62 |
| 5 | FENG Chun Kai | 69 |
| 6 | EBSEN John | 58 |
| 7 | MIZBANI Ghader | 67 |
| 11 | SOHRABI Mehdi | 69 |
| 13 | NOVARDIANTO Jamalidin | 69 |
| 15 | DE JONGE Maarten | 65 |
| 29 | MOAZEMI Arvin | 70 |
| 31 | SALEH Mohd Harrif | 70 |
| 37 | KOLAHDOZHAGH Amir | 60 |
| 38 | WIJAYA Endra | 58 |
| 46 | MAT AMIN Mohd Shahrul | 54 |
| 48 | NAKANE Hideto | 55 |
| 49 | NISHITANI Taiji | 62 |