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 = 0.9 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Wood
1
56 kgCantele
3
58 kgPučinskaitė
6
54 kgGuderzo
15
54 kgMartisova
16
64 kgCarrigan
19
60 kg
1
56 kgCantele
3
58 kgPučinskaitė
6
54 kgGuderzo
15
54 kgMartisova
16
64 kgCarrigan
19
60 kg
Weight (KG) →
Result →
64
54
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOOD Oenone | 56 |
| 3 | CANTELE Noemi | 58 |
| 6 | PUČINSKAITĖ Edita | 54 |
| 15 | GUDERZO Tatiana | 54 |
| 16 | MARTISOVA Julia | 64 |
| 19 | CARRIGAN Sara | 60 |