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 + 66
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Hoffmann
1
65 kgvan Winden
3
70 kgMollema
5
64 kgBates
12
61 kgMora
15
65 kg
1
65 kgvan Winden
3
70 kgMollema
5
64 kgBates
12
61 kgMora
15
65 kg
Weight (KG) →
Result →
70
61
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFFMANN Erik | 65 |
| 3 | VAN WINDEN Dennis | 70 |
| 5 | MOLLEMA Bauke | 64 |
| 12 | BATES Gene | 61 |
| 15 | MORA Arturo | 65 |