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 + 129
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Prim
1
76 kgvan der Poel
4
70 kgLeMond
5
67 kgZoetemelk
9
68 kgAlgeri
11
68 kgGavazzi
18
67 kgvan Vliet
24
65 kg
1
76 kgvan der Poel
4
70 kgLeMond
5
67 kgZoetemelk
9
68 kgAlgeri
11
68 kgGavazzi
18
67 kgvan Vliet
24
65 kg
Weight (KG) →
Result →
76
65
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIM Tommy | 76 |
| 4 | VAN DER POEL Adrie | 70 |
| 5 | LEMOND Greg | 67 |
| 9 | ZOETEMELK Joop | 68 |
| 11 | ALGERI Vittorio | 68 |
| 18 | GAVAZZI Pierino | 67 |
| 24 | VAN VLIET Leo | 65 |