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 + 69
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Monsalve
2
62 kgRuffoni
5
70 kgRowe
6
72 kgDe Patre
9
66 kgTedeschi
12
69 kgOwsian
15
66 kgPalini
18
67 kgMarycz
22
69 kgGawroński
28
73 kgAlafaci
29
77 kgKennaugh
40
66 kgAppollonio
53
67 kgBarbin
62
60 kgĐurasek
64
56 kgJõeäär
65
84 kgUlissi
69
63 kgKwiatkowski
74
68 kgCaruso
85
67 kg
2
62 kgRuffoni
5
70 kgRowe
6
72 kgDe Patre
9
66 kgTedeschi
12
69 kgOwsian
15
66 kgPalini
18
67 kgMarycz
22
69 kgGawroński
28
73 kgAlafaci
29
77 kgKennaugh
40
66 kgAppollonio
53
67 kgBarbin
62
60 kgĐurasek
64
56 kgJõeäär
65
84 kgUlissi
69
63 kgKwiatkowski
74
68 kgCaruso
85
67 kg
Weight (KG) →
Result →
84
56
2
85
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 5 | RUFFONI Nicola | 70 |
| 6 | ROWE Luke | 72 |
| 9 | DE PATRE Roberto | 66 |
| 12 | TEDESCHI Mirko | 69 |
| 15 | OWSIAN Łukasz | 66 |
| 18 | PALINI Andrea | 67 |
| 22 | MARYCZ Jarosław | 69 |
| 28 | GAWROŃSKI Piotr | 73 |
| 29 | ALAFACI Eugenio | 77 |
| 40 | KENNAUGH Peter | 66 |
| 53 | APPOLLONIO Davide | 67 |
| 62 | BARBIN Enrico | 60 |
| 64 | ĐURASEK Kristijan | 56 |
| 65 | JÕEÄÄR Gert | 84 |
| 69 | ULISSI Diego | 63 |
| 74 | KWIATKOWSKI Michał | 68 |
| 85 | CARUSO Damiano | 67 |