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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Zoccarato
2
74 kgHerregodts
4
70 kgZimmermann
5
70 kgMarcellusi
6
62 kgOliveira
7
68 kgGranger
8
71 kgde la Cruz
9
66 kgTonelli
10
64 kgGruszczynski
12
60 kgBrenner
17
59 kgWatts
18
72 kgBax
19
78 kgSuter
20
75 kgCovi
21
66 kgNovák
22
64 kgThalmann
23
61 kgRemelli
24
61 kgBennett
25
58 kgJohansen
26
77 kg
2
74 kgHerregodts
4
70 kgZimmermann
5
70 kgMarcellusi
6
62 kgOliveira
7
68 kgGranger
8
71 kgde la Cruz
9
66 kgTonelli
10
64 kgGruszczynski
12
60 kgBrenner
17
59 kgWatts
18
72 kgBax
19
78 kgSuter
20
75 kgCovi
21
66 kgNovák
22
64 kgThalmann
23
61 kgRemelli
24
61 kgBennett
25
58 kgJohansen
26
77 kg
Weight (KG) →
Result →
78
58
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZOCCARATO Samuele | 74 |
| 4 | HERREGODTS Rune | 70 |
| 5 | ZIMMERMANN Georg | 70 |
| 6 | MARCELLUSI Martin | 62 |
| 7 | OLIVEIRA Ivo | 68 |
| 8 | GRANGER Ben | 71 |
| 9 | DE LA CRUZ David | 66 |
| 10 | TONELLI Alessandro | 64 |
| 12 | GRUSZCZYNSKI Filip | 60 |
| 17 | BRENNER Marco | 59 |
| 18 | WATTS Kiaan | 72 |
| 19 | BAX Sjoerd | 78 |
| 20 | SUTER Joel | 75 |
| 21 | COVI Alessandro | 66 |
| 22 | NOVÁK Pavel | 64 |
| 23 | THALMANN Roland | 61 |
| 24 | REMELLI Cristian | 61 |
| 25 | BENNETT George | 58 |
| 26 | JOHANSEN Julius | 77 |