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 = -2.8 * weight + 207
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Hendrickx
2
70 kgBonduel
8
74 kgLowie
12
68 kgVlaemynck
27
63 kgVissers
28
65 kgOckers
42
61 kg
2
70 kgBonduel
8
74 kgLowie
12
68 kgVlaemynck
27
63 kgVissers
28
65 kgOckers
42
61 kg
Weight (KG) →
Result →
74
61
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HENDRICKX Albert | 70 |
| 8 | BONDUEL Frans | 74 |
| 12 | LOWIE Jules | 68 |
| 27 | VLAEMYNCK Lucien | 63 |
| 28 | VISSERS Edward | 65 |
| 42 | OCKERS Stan | 61 |