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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
De Vlaeminck
1
74 kgMerckx
2
74 kgMoser
3
79 kgBaronchelli
4
72 kgSercu
5
76 kg
1
74 kgMerckx
2
74 kgMoser
3
79 kgBaronchelli
4
72 kgSercu
5
76 kg
Weight (KG) →
Result →
79
72
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | MERCKX Eddy | 74 |
| 3 | MOSER Francesco | 79 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 5 | SERCU Patrick | 76 |