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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Baffi
1
70 kgVanderaerden
4
74 kgvan der Poel
7
70 kgFondriest
8
70 kgLeMond
9
67 kgCenghialta
19
73 kg
1
70 kgVanderaerden
4
74 kgvan der Poel
7
70 kgFondriest
8
70 kgLeMond
9
67 kgCenghialta
19
73 kg
Weight (KG) →
Result →
74
67
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 4 | VANDERAERDEN Eric | 74 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | FONDRIEST Maurizio | 70 |
| 9 | LEMOND Greg | 67 |
| 19 | CENGHIALTA Bruno | 73 |