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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Spadini
1
62 kgPetrucci
1
56 kgAcco
6
69 kgGovekar
8
73 kgMurn
9
77 kgOmrzel
9
67 kgPongiluppi
10
80 kgLucca
13
71 kgCarretta
14
69 kgBonaldo
14
68 kgBaroncini
15
74 kgSkok
16
73 kgVerre
19
59 kgMarcellusi
21
62 kgFetter
22
70 kgGratzer
29
67 kgMaier
29
67 kgSchmidbauer
29
69 kgParravano
30
55 kgZanei
31
52 kgSlomp
31
63 kgSandri
31
56 kg
1
62 kgPetrucci
1
56 kgAcco
6
69 kgGovekar
8
73 kgMurn
9
77 kgOmrzel
9
67 kgPongiluppi
10
80 kgLucca
13
71 kgCarretta
14
69 kgBonaldo
14
68 kgBaroncini
15
74 kgSkok
16
73 kgVerre
19
59 kgMarcellusi
21
62 kgFetter
22
70 kgGratzer
29
67 kgMaier
29
67 kgSchmidbauer
29
69 kgParravano
30
55 kgZanei
31
52 kgSlomp
31
63 kgSandri
31
56 kg
Weight (KG) →
Result →
80
52
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SPADINI Enrico | 62 |
| 1 | PETRUCCI Mattia | 56 |
| 6 | ACCO Alessio | 69 |
| 8 | GOVEKAR Matevž | 73 |
| 9 | MURN Boštjan | 77 |
| 9 | OMRZEL Aljaž | 67 |
| 10 | PONGILUPPI Matteo | 80 |
| 13 | LUCCA Simone | 71 |
| 14 | CARRETTA Riccardo | 69 |
| 14 | BONALDO Kevin | 68 |
| 15 | BARONCINI Filippo | 74 |
| 16 | SKOK Anže | 73 |
| 19 | VERRE Alessandro | 59 |
| 21 | MARCELLUSI Martin | 62 |
| 22 | FETTER Erik | 70 |
| 29 | GRATZER Alexander | 67 |
| 29 | MAIER Florian | 67 |
| 29 | SCHMIDBAUER Maximilian | 69 |
| 30 | PARRAVANO Francesco | 55 |
| 31 | ZANEI Alessio | 52 |
| 31 | SLOMP Samuel | 63 |
| 31 | SANDRI Edoardo | 56 |