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 = 0.2 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Archambaud
1
66 kgSpeicher
2
73 kgIgnat
4
75 kgLapébie
5
74 kgDriancourt
6
68 kgButtafocchi
6
75 kgCloarec
6
78 kg
1
66 kgSpeicher
2
73 kgIgnat
4
75 kgLapébie
5
74 kgDriancourt
6
68 kgButtafocchi
6
75 kgCloarec
6
78 kg
Weight (KG) →
Result →
78
66
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARCHAMBAUD Maurice | 66 |
| 2 | SPEICHER Georges | 73 |
| 4 | IGNAT Émile | 75 |
| 5 | LAPÉBIE Roger | 74 |
| 6 | DRIANCOURT Jean | 68 |
| 6 | BUTTAFOCCHI Adrien | 75 |
| 6 | CLOAREC Pierre | 78 |