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 = 60.3 * weight - 3730
This means that on average for every extra kilogram weight a rider loses 60.3 positions in the result.
Simpson
1
69 kgAnquetil
3
70 kgForestier
11
70 kgLelangue
990
72 kgPoulidor
990
71 kgBracke
990
79 kgRostollan
990
68 kg
1
69 kgAnquetil
3
70 kgForestier
11
70 kgLelangue
990
72 kgPoulidor
990
71 kgBracke
990
79 kgRostollan
990
68 kg
Weight (KG) →
Result →
79
68
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMPSON Tom | 69 |
| 3 | ANQUETIL Jacques | 70 |
| 11 | FORESTIER Jean | 70 |
| 990 | LELANGUE Robert | 72 |
| 990 | POULIDOR Raymond | 71 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | ROSTOLLAN Louis | 68 |