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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ignat
1
75 kgJaminet
2
70 kgSpeicher
3
73 kgLadron
9
60 kgLapébie
10
74 kg
1
75 kgJaminet
2
70 kgSpeicher
3
73 kgLadron
9
60 kgLapébie
10
74 kg
Weight (KG) →
Result →
75
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGNAT Émile | 75 |
| 2 | JAMINET Pierre | 70 |
| 3 | SPEICHER Georges | 73 |
| 9 | LADRON Théodore | 60 |
| 10 | LAPÉBIE Roger | 74 |