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 * weight + 4
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Prim
1
76 kgSegersall
1
65 kgKnudsen
1
79 kgBaronchelli
1
72 kgMoser
2
79 kgMartinelli
3
74 kgMaertens
3
65 kg
1
76 kgSegersall
1
65 kgKnudsen
1
79 kgBaronchelli
1
72 kgMoser
2
79 kgMartinelli
3
74 kgMaertens
3
65 kg
Weight (KG) →
Result →
79
65
1
3
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIM Tommy | 76 |
| 1 | SEGERSALL Alf | 65 |
| 1 | KNUDSEN Knut | 79 |
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | MOSER Francesco | 79 |
| 3 | MARTINELLI Giuseppe | 74 |
| 3 | MAERTENS Freddy | 65 |