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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kelly
2
77 kgJalabert
3
66 kgFignon
6
67 kgSkibby
8
70 kgArntz
9
70 kgMurguialday
10
58 kg
2
77 kgJalabert
3
66 kgFignon
6
67 kgSkibby
8
70 kgArntz
9
70 kgMurguialday
10
58 kg
Weight (KG) →
Result →
77
58
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | JALABERT Laurent | 66 |
| 6 | FIGNON Laurent | 67 |
| 8 | SKIBBY Jesper | 70 |
| 9 | ARNTZ Marcel | 70 |
| 10 | MURGUIALDAY Javier | 58 |