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 + 46
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Álvarez
2
74 kgMellano
9
65 kgJackowiak
21
65 kgDoghetti
22
55 kgZanutta
27
57 kgRemelli
33
61 kgConsolidani
51
59 kgMartín
55
56 kgCubillas
56
62 kgBeisembay
61
73 kgPodluzhnyy
63
71 kgGabelloni
72
68 kgMorales
89
64 kgAlvarez
92
56 kgWieland
94
64 kgPighin
98
60 kgFabbri
101
73 kg
2
74 kgMellano
9
65 kgJackowiak
21
65 kgDoghetti
22
55 kgZanutta
27
57 kgRemelli
33
61 kgConsolidani
51
59 kgMartín
55
56 kgCubillas
56
62 kgBeisembay
61
73 kgPodluzhnyy
63
71 kgGabelloni
72
68 kgMorales
89
64 kgAlvarez
92
56 kgWieland
94
64 kgPighin
98
60 kgFabbri
101
73 kg
Weight (KG) →
Result →
74
55
2
101
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ÁLVAREZ Héctor | 74 |
| 9 | MELLANO Ludovico Maria | 65 |
| 21 | JACKOWIAK Jan Michal | 65 |
| 22 | DOGHETTI Thomas | 55 |
| 27 | ZANUTTA David | 57 |
| 33 | REMELLI Cristian | 61 |
| 51 | CONSOLIDANI Leonardo | 59 |
| 55 | MARTÍN Marco | 56 |
| 56 | CUBILLAS Javier | 62 |
| 61 | BEISEMBAY Mansur | 73 |
| 63 | PODLUZHNYY Mikhail | 71 |
| 72 | GABELLONI Matteo | 68 |
| 89 | MORALES Jonathan | 64 |
| 92 | ALVAREZ Oscar | 56 |
| 94 | WIELAND Fabian | 64 |
| 98 | PIGHIN Christian | 60 |
| 101 | FABBRI Julius | 73 |