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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Jalabert
1
66 kgBaldato
2
60 kgZabel
3
69 kgOlano
4
70 kgCipollini
5
77 kg
1
66 kgBaldato
2
60 kgZabel
3
69 kgOlano
4
70 kgCipollini
5
77 kg
Weight (KG) →
Result →
77
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 2 | BALDATO Fabio | 60 |
| 3 | ZABEL Erik | 69 |
| 4 | OLANO Abraham | 70 |
| 5 | CIPOLLINI Mario | 77 |