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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARRARA Matteo | 67 |
| 2 | GLOMSER Gerrit | 67 |
| 3 | SIJMENS Nico | 69 |
| 4 | CADAMURO Simone | 78 |
| 9 | STEELS Tom | 73 |
| 10 | MAHORIČ Mitja | 68 |
| 11 | BONČA Valter | 63 |
| 12 | PUGACI Igor | 67 |
| 14 | GOLČER Jure | 66.5 |
| 15 | SPEZIALETTI Alessandro | 67 |