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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Godefroot
1
73 kgMerckx
2
74 kgBracke
9
79 kgBeheyt
11
71 kgSwerts
37
75 kg
1
73 kgMerckx
2
74 kgBracke
9
79 kgBeheyt
11
71 kgSwerts
37
75 kg
Weight (KG) →
Result →
79
71
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 2 | MERCKX Eddy | 74 |
| 9 | BRACKE Ferdinand | 79 |
| 11 | BEHEYT Benoni | 71 |
| 37 | SWERTS Roger | 75 |