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 = -35.1 * weight + 2831
This means that on average for every extra kilogram weight a rider loses -35.1 positions in the result.
Prim
1
76 kgHinault
2
62 kgZoetemelk
4
68 kgSergeant
9
76 kgvan der Poel
990
70 kgSchepers
990
60 kgGlaus
990
67 kg
1
76 kgHinault
2
62 kgZoetemelk
4
68 kgSergeant
9
76 kgvan der Poel
990
70 kgSchepers
990
60 kgGlaus
990
67 kg
Weight (KG) →
Result →
76
60
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIM Tommy | 76 |
| 2 | HINAULT Bernard | 62 |
| 4 | ZOETEMELK Joop | 68 |
| 9 | SERGEANT Marc | 76 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | GLAUS Gilbert | 67 |