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 - 3
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 kgBiddle
3
64 kgMoser
4
79 kgBaronchelli
5
72 kgSwerts
7
75 kgRitter
8
74 kg
1
74 kgMerckx
2
74 kgBiddle
3
64 kgMoser
4
79 kgBaronchelli
5
72 kgSwerts
7
75 kgRitter
8
74 kg
Weight (KG) →
Result →
79
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | MERCKX Eddy | 74 |
| 3 | BIDDLE Bruce | 64 |
| 4 | MOSER Francesco | 79 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 7 | SWERTS Roger | 75 |
| 8 | RITTER Ole | 74 |