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 = 0.3 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Merckx
1
74 kgPoulidor
2
71 kgJanssen
4
76 kgBracke
5
79 kgPost
7
79 kgSteevens
8
73 kg
1
74 kgPoulidor
2
71 kgJanssen
4
76 kgBracke
5
79 kgPost
7
79 kgSteevens
8
73 kg
Weight (KG) →
Result →
79
71
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | POULIDOR Raymond | 71 |
| 4 | JANSSEN Jan | 76 |
| 5 | BRACKE Ferdinand | 79 |
| 7 | POST Peter | 79 |
| 8 | STEEVENS Harry | 73 |