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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Driancourt
2
68 kgLapébie
3
74 kgSpeicher
5
73 kgButtafocchi
8
75 kgArchambaud
9
66 kgBerton
10
65 kg
2
68 kgLapébie
3
74 kgSpeicher
5
73 kgButtafocchi
8
75 kgArchambaud
9
66 kgBerton
10
65 kg
Weight (KG) →
Result →
75
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DRIANCOURT Jean | 68 |
| 3 | LAPÉBIE Roger | 74 |
| 5 | SPEICHER Georges | 73 |
| 8 | BUTTAFOCCHI Adrien | 75 |
| 9 | ARCHAMBAUD Maurice | 66 |
| 10 | BERTON Georges | 65 |