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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Gerritse
1
59 kgZanardi
2
56 kgBauernfeind
3
53 kgvan Empel
7
58 kgFouquenet
11
60 kgVitillo
17
51 kgBuch
29
61 kg
1
59 kgZanardi
2
56 kgBauernfeind
3
53 kgvan Empel
7
58 kgFouquenet
11
60 kgVitillo
17
51 kgBuch
29
61 kg
Weight (KG) →
Result →
61
51
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERRITSE Femke | 59 |
| 2 | ZANARDI Silvia | 56 |
| 3 | BAUERNFEIND Ricarda | 53 |
| 7 | VAN EMPEL Fem | 58 |
| 11 | FOUQUENET Amandine | 60 |
| 17 | VITILLO Matilde | 51 |
| 29 | BUCH Hannah | 61 |