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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Zülle
1
72 kgJonker
2
69 kgFondriest
3
70 kgCipollini
4
77 kgSeigneur
6
71 kgSavoldelli
10
72 kg
1
72 kgJonker
2
69 kgFondriest
3
70 kgCipollini
4
77 kgSeigneur
6
71 kgSavoldelli
10
72 kg
Weight (KG) →
Result →
77
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | JONKER Patrick | 69 |
| 3 | FONDRIEST Maurizio | 70 |
| 4 | CIPOLLINI Mario | 77 |
| 6 | SEIGNEUR Eddy | 71 |
| 10 | SAVOLDELLI Paolo | 72 |