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 - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Finn
1
63 kgRemelli
3
61 kgKőrösi
7
65 kgFrigo
8
68 kgPighin
8
60 kgZanutta
8
57 kgConsolidani
9
59 kgSmith
10
58 kgSims
10
58 kgGalbusera
12
63 kgDoghetti
12
54 kgPritržnik
14
64 kgOmrzel
15
62 kgStryjewski
18
69 kgCampana
21
57 kgNica
22
69 kgVedovelli
23
59 kgGabelloni
24
68 kgTammepuu
26
68 kgWrolich
27
58 kgAlvarez
29
56 kgMorales
29
64 kgCaresia
32
66 kg
1
63 kgRemelli
3
61 kgKőrösi
7
65 kgFrigo
8
68 kgPighin
8
60 kgZanutta
8
57 kgConsolidani
9
59 kgSmith
10
58 kgSims
10
58 kgGalbusera
12
63 kgDoghetti
12
54 kgPritržnik
14
64 kgOmrzel
15
62 kgStryjewski
18
69 kgCampana
21
57 kgNica
22
69 kgVedovelli
23
59 kgGabelloni
24
68 kgTammepuu
26
68 kgWrolich
27
58 kgAlvarez
29
56 kgMorales
29
64 kgCaresia
32
66 kg
Weight (KG) →
Result →
69
54
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FINN Lorenzo | 63 |
| 3 | REMELLI Cristian | 61 |
| 7 | KŐRÖSI Gábor | 65 |
| 8 | FRIGO Davide | 68 |
| 8 | PIGHIN Christian | 60 |
| 8 | ZANUTTA David | 57 |
| 9 | CONSOLIDANI Leonardo | 59 |
| 10 | SMITH Jeremy | 58 |
| 10 | SIMS Oliver | 58 |
| 12 | GALBUSERA Simone | 63 |
| 12 | DOGHETTI Thomas | 54 |
| 14 | PRITRŽNIK Jon | 64 |
| 15 | OMRZEL Jakob | 62 |
| 18 | STRYJEWSKI Piotr | 69 |
| 21 | CAMPANA Mattia | 57 |
| 22 | NICA Paolo | 69 |
| 23 | VEDOVELLI Christian | 59 |
| 24 | GABELLONI Matteo | 68 |
| 26 | TAMMEPUU Riko | 68 |
| 27 | WROLICH Manolo | 58 |
| 29 | ALVAREZ Oscar | 56 |
| 29 | MORALES Jonathan | 64 |
| 32 | CARESIA Edoardo | 66 |