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 = -50.8 * weight + 4190
This means that on average for every extra kilogram weight a rider loses -50.8 positions in the result.
Simpson
2
69 kgBracke
12
79 kgForestier
16
70 kgLelangue
990
72 kgPoulidor
990
71 kgAnquetil
990
70 kgRostollan
990
68 kg
2
69 kgBracke
12
79 kgForestier
16
70 kgLelangue
990
72 kgPoulidor
990
71 kgAnquetil
990
70 kgRostollan
990
68 kg
Weight (KG) →
Result →
79
68
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIMPSON Tom | 69 |
| 12 | BRACKE Ferdinand | 79 |
| 16 | FORESTIER Jean | 70 |
| 990 | LELANGUE Robert | 72 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ANQUETIL Jacques | 70 |
| 990 | ROSTOLLAN Louis | 68 |