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 + 8
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Richard
1
67 kgHodge
3
74 kgBallerini
4
78 kgRominger
5
65 kgDufaux
6
60 kgWabel
7
72 kg
1
67 kgHodge
3
74 kgBallerini
4
78 kgRominger
5
65 kgDufaux
6
60 kgWabel
7
72 kg
Weight (KG) →
Result →
78
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 3 | HODGE Stephen | 74 |
| 4 | BALLERINI Franco | 78 |
| 5 | ROMINGER Tony | 65 |
| 6 | DUFAUX Laurent | 60 |
| 7 | WABEL Beat | 72 |