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 = 1.9 * weight - 109
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Forestier
8
70 kgRostollan
17
68 kgSimpson
19
69 kgPoulidor
20
71 kgAnquetil
27
70 kgBracke
35
79 kgLelangue
39
72 kg
8
70 kgRostollan
17
68 kgSimpson
19
69 kgPoulidor
20
71 kgAnquetil
27
70 kgBracke
35
79 kgLelangue
39
72 kg
Weight (KG) →
Result →
79
68
8
39
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | FORESTIER Jean | 70 |
| 17 | ROSTOLLAN Louis | 68 |
| 19 | SIMPSON Tom | 69 |
| 20 | POULIDOR Raymond | 71 |
| 27 | ANQUETIL Jacques | 70 |
| 35 | BRACKE Ferdinand | 79 |
| 39 | LELANGUE Robert | 72 |