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 + 69
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Baronchelli
6
72 kgvan Vliet
14
65 kgSergeant
16
76 kgDemol
25
72 kgPrim
36
76 kgZoetemelk
38
68 kgHinault
39
62 kg
6
72 kgvan Vliet
14
65 kgSergeant
16
76 kgDemol
25
72 kgPrim
36
76 kgZoetemelk
38
68 kgHinault
39
62 kg
Weight (KG) →
Result →
76
62
6
39
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BARONCHELLI Gianbattista | 72 |
| 14 | VAN VLIET Leo | 65 |
| 16 | SERGEANT Marc | 76 |
| 25 | DEMOL Dirk | 72 |
| 36 | PRIM Tommy | 76 |
| 38 | ZOETEMELK Joop | 68 |
| 39 | HINAULT Bernard | 62 |