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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Solleveld
1
93 kgMoser
3
79 kgSergeant
4
76 kgRominger
5
65 kgSkibby
9
70 kgRiis
15
71 kgDe Wilde
16
70 kg
1
93 kgMoser
3
79 kgSergeant
4
76 kgRominger
5
65 kgSkibby
9
70 kgRiis
15
71 kgDe Wilde
16
70 kg
Weight (KG) →
Result →
93
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLLEVELD Gerrit | 93 |
| 3 | MOSER Francesco | 79 |
| 4 | SERGEANT Marc | 76 |
| 5 | ROMINGER Tony | 65 |
| 9 | SKIBBY Jesper | 70 |
| 15 | RIIS Bjarne | 71 |
| 16 | DE WILDE Etienne | 70 |