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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTÓN Igor | 64 |
| 2 | TXURRUKA Amets | 58 |
| 3 | HERRADA Jesús | 70 |
| 4 | GARCIA Marcos | 55 |
| 5 | MORENO Javier | 63 |
| 6 | BRAVO Garikoitz | 61 |
| 7 | BELDA David | 53 |
| 8 | SHALUNOV Evgeny | 70 |
| 9 | GALLEGO Alberto | 62 |
| 10 | TORRES Rodolfo Andrés | 56 |
| 11 | RAMIREZ Brayan Steven | 69 |
| 12 | RUBIANO Miguel Angel | 58 |
| 13 | RODRIGUES David Miguel Costa | 60 |
| 14 | FRAILE Omar | 72 |
| 15 | VILELA Ricardo | 59 |