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 = -1.7 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Post
1
79 kgVanden Berghen
5
76 kgJanssen
8
76 kgCerami
9
72 kgForé
12
73 kgLacombe
18
77 kgJanssens
26
68 kg
1
79 kgVanden Berghen
5
76 kgJanssen
8
76 kgCerami
9
72 kgForé
12
73 kgLacombe
18
77 kgJanssens
26
68 kg
Weight (KG) →
Result →
79
68
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POST Peter | 79 |
| 5 | VANDEN BERGHEN Willy | 76 |
| 8 | JANSSEN Jan | 76 |
| 9 | CERAMI Pino | 72 |
| 12 | FORÉ Noël | 73 |
| 18 | LACOMBE Roland | 77 |
| 26 | JANSSENS Marcel | 68 |