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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Cipollini
1
77 kgvan der Poel
2
70 kgMartinello
3
71 kgLilholt
4
72 kgSimon
6
70 kgBauer
9
72 kgBaffi
10
70 kg
1
77 kgvan der Poel
2
70 kgMartinello
3
71 kgLilholt
4
72 kgSimon
6
70 kgBauer
9
72 kgBaffi
10
70 kg
Weight (KG) →
Result →
77
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | VAN DER POEL Adrie | 70 |
| 3 | MARTINELLO Silvio | 71 |
| 4 | LILHOLT Søren | 72 |
| 6 | SIMON François | 70 |
| 9 | BAUER Steve | 72 |
| 10 | BAFFI Adriano | 70 |