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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JARAMILLO Daniel | 63 |
| 3 | WOODS Michael | 62 |
| 5 | CHALAPUD Robinson | 63 |
| 6 | BOIVIN Guillaume | 78 |
| 7 | ORONTE Emerson | 65 |
| 12 | GEOGHEGAN HART Tao | 65 |
| 13 | HORNER Chris | 70 |
| 14 | LEMUS Luis | 61 |
| 15 | BRAJKOVIČ Janez | 60 |
| 18 | MORTON Lachlan | 62 |
| 19 | DANIEL Gregory | 64 |
| 20 | GAIMON Phillip | 67 |
| 22 | PICCOLI James | 65 |