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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEOGHEGAN HART Tao | 65 |
| 2 | CARTHY Hugh | 69 |
| 3 | ROSÓN Jaime | 62 |
| 4 | SMITH Dion | 67 |
| 5 | ZEPUNTKE Ruben | 76 |
| 6 | OWEN Logan | 67 |
| 8 | GROßSCHARTNER Felix | 64 |
| 9 | BASSO Leonardo | 63 |
| 10 | WATSON Calvin | 72 |
| 11 | TANOVIȚCHII Nicolae | 73 |
| 12 | BENITO Miguel Ángel | 67 |
| 13 | DANIEL Gregory | 64 |
| 14 | TUREK Daniel | 72 |
| 15 | ORAM James | 68 |
| 16 | SKJERPING Kristoffer | 71 |
| 18 | PLANET Charles | 71 |
| 19 | FRANKINY Kilian | 67 |