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 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Covi
2
66 kgOliveira
3
68 kgBrenner
4
59 kgFancellu
5
62 kgBennett
6
58 kgZimmermann
8
70 kgde la Cruz
9
66 kgBax
10
78 kgRaccani
11
64 kgHerregodts
16
70 kgMarcellusi
18
62 kgHowson
20
68 kgZoccarato
21
74 kgConti
22
61 kgZeray
24
57 kgWatts
25
72 kgCretti
26
63 kgGranger
27
71 kgWilliams
29
59 kg
2
66 kgOliveira
3
68 kgBrenner
4
59 kgFancellu
5
62 kgBennett
6
58 kgZimmermann
8
70 kgde la Cruz
9
66 kgBax
10
78 kgRaccani
11
64 kgHerregodts
16
70 kgMarcellusi
18
62 kgHowson
20
68 kgZoccarato
21
74 kgConti
22
61 kgZeray
24
57 kgWatts
25
72 kgCretti
26
63 kgGranger
27
71 kgWilliams
29
59 kg
Weight (KG) →
Result →
78
57
2
29
# | Rider | Weight (KG) |
---|---|---|
2 | COVI Alessandro | 66 |
3 | OLIVEIRA Ivo | 68 |
4 | BRENNER Marco | 59 |
5 | FANCELLU Alessandro | 62 |
6 | BENNETT George | 58 |
8 | ZIMMERMANN Georg | 70 |
9 | DE LA CRUZ David | 66 |
10 | BAX Sjoerd | 78 |
11 | RACCANI Simone | 64 |
16 | HERREGODTS Rune | 70 |
18 | MARCELLUSI Martin | 62 |
20 | HOWSON Damien | 68 |
21 | ZOCCARATO Samuele | 74 |
22 | CONTI Valerio | 61 |
24 | ZERAY Nahom | 57 |
25 | WATTS Kiaan | 72 |
26 | CRETTI Luca | 63 |
27 | GRANGER Ben | 71 |
29 | WILLIAMS Stephen | 59 |