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 = -0.1 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hesjedal
1
73 kgPozzovivo
2
53 kgPinot
3
63 kgKangert
4
65 kgMartin
5
59 kg
1
73 kgPozzovivo
2
53 kgPinot
3
63 kgKangert
4
65 kgMartin
5
59 kg
Weight (KG) →
Result →
73
53
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HESJEDAL Ryder | 73 |
| 2 | POZZOVIVO Domenico | 53 |
| 3 | PINOT Thibaut | 63 |
| 4 | KANGERT Tanel | 65 |
| 5 | MARTIN Dan | 59 |