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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Van Looy
2
73 kgAnquetil
3
70 kgImpanis
4
69 kgDerycke
5
70 kgVan Steenbergen
6
83 kgOckers
8
61 kg
2
73 kgAnquetil
3
70 kgImpanis
4
69 kgDerycke
5
70 kgVan Steenbergen
6
83 kgOckers
8
61 kg
Weight (KG) →
Result →
83
61
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN LOOY Rik | 73 |
| 3 | ANQUETIL Jacques | 70 |
| 4 | IMPANIS Raymond | 69 |
| 5 | DERYCKE Germain | 70 |
| 6 | VAN STEENBERGEN Rik | 83 |
| 8 | OCKERS Stan | 61 |