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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KREDER Raymond | 70 |
| 3 | MASUDA Nariyuki | 63 |
| 4 | SUZUKI Yuzuru | 57 |
| 6 | HUCKER Robbie | 68 |
| 7 | IRIBE Shotaro | 61 |
| 8 | OKA Atsushi | 58 |
| 9 | HILL Benjamin | 67 |
| 10 | PARK Sang-Hoon | 77 |
| 11 | OVETT Freddy | 64 |
| 12 | DOI Yukihiro | 58 |
| 13 | PRADES Benjamín | 56 |
| 14 | TAKEYAMA Kosuke | 56 |
| 16 | KISHI Takahito | 69 |
| 17 | WATANABE Shotaro | 65 |
| 18 | HATANAKA Yusuke | 72 |