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 - 104
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ANQUETIL Jacques | 70 |
7 | ROSTOLLAN Louis | 68 |
12 | SIMON Jacques | 72 |
13 | HAMON François | 61 |
15 | POULIDOR Raymond | 71 |
16 | DUEZ Henri | 64 |
33 | GAUL Charly | 64 |
44 | GRACZYK Jean | 70 |
54 | LACOMBE Roland | 77 |
56 | DÍAZ Ventura | 72 |