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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JARAMILLO Daniel | 63 |
| 2 | MORTON Lachlan | 62 |
| 4 | ACEVEDO Janier | 63 |
| 5 | MURPHY Kyle | 67 |
| 6 | BUSCHE Matthew | 69 |
| 7 | KUSS Sepp | 61 |
| 8 | CLARKE Jonathan | 68 |
| 9 | GUERREIRO Ruben | 65 |
| 10 | ZIRBEL Tom | 91 |
| 11 | GEOGHEGAN HART Tao | 65 |
| 12 | ORONTE Emerson | 65 |
| 13 | BARTA Will | 61 |
| 15 | OIEN Justin | 68 |
| 17 | CATAFORD Alexander | 70 |
| 18 | BRAJKOVIČ Janez | 60 |
| 19 | POWLESS Neilson | 67 |
| 20 | TANOVIȚCHII Nicolae | 73 |