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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Museeuw
3
71 kgYates
5
74 kgvan der Poel
8
70 kgKelly
9
77 kgGayant
11
69 kgEarley
13
62 kgElliott
16
76 kg
3
71 kgYates
5
74 kgvan der Poel
8
70 kgKelly
9
77 kgGayant
11
69 kgEarley
13
62 kgElliott
16
76 kg
Weight (KG) →
Result →
77
62
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MUSEEUW Johan | 71 |
| 5 | YATES Sean | 74 |
| 8 | VAN DER POEL Adrie | 70 |
| 9 | KELLY Sean | 77 |
| 11 | GAYANT Martial | 69 |
| 13 | EARLEY Martin | 62 |
| 16 | ELLIOTT Malcolm | 76 |