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 - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CRAWFORD Jai | 59 |
| 4 | WHITEHOUSE Daniel | 58 |
| 5 | PRADES Benjamín | 56 |
| 6 | GARCÍA Ricardo | 68 |
| 9 | MANULANG Robin | 59 |
| 11 | CHOE Hyeong Min | 63 |
| 16 | SULZBERGER Wesley | 65 |
| 20 | NIETO Edgar | 58 |
| 21 | FELIPE Marcelo | 58 |
| 22 | WANG Meiyin | 70 |
| 23 | NOVARDIANTO Jamalidin | 69 |
| 25 | MAZUKI Nur Amirul Fakhruddin | 57 |