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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Hall
1
52 kgDoebel-Hickok
2
51 kgvan der Breggen
3
56 kgLabous
5
54 kgGuarnier
6
54 kgEdwards
7
59 kgSierra
9
57 kg
1
52 kgDoebel-Hickok
2
51 kgvan der Breggen
3
56 kgLabous
5
54 kgGuarnier
6
54 kgEdwards
7
59 kgSierra
9
57 kg
Weight (KG) →
Result →
59
51
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALL Katie | 52 |
| 2 | DOEBEL-HICKOK Krista | 51 |
| 3 | VAN DER BREGGEN Anna | 56 |
| 5 | LABOUS Juliette | 54 |
| 6 | GUARNIER Megan | 54 |
| 7 | EDWARDS Ruth | 59 |
| 9 | SIERRA Arlenis | 57 |