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 = -1.3 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Planckaert
1
69 kgDernies
11
75 kgHoste
12
76 kgGlaus
27
67 kgZoetemelk
28
68 kg
1
69 kgDernies
11
75 kgHoste
12
76 kgGlaus
27
67 kgZoetemelk
28
68 kg
Weight (KG) →
Result →
76
67
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 11 | DERNIES Michel | 75 |
| 12 | HOSTE Frank | 76 |
| 27 | GLAUS Gilbert | 67 |
| 28 | ZOETEMELK Joop | 68 |