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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Großschartner
1
64 kgdel Toro
2
64 kgPlowright
3
80 kgAugust
4
57 kgÁlvarez
5
74 kgRyan
6
56 kgMajka
7
62 kgEngelhardt
8
68 kgBaroncini
9
74 kgKonychev
10
76 kgCovi
11
66 kgKämna
12
65 kgŻelazowski
13
68 kgLangellotti
14
64 kgDik
15
77 kgCharmig
16
66 kgBudziński
17
70 kgZangerle
18
68 kg
1
64 kgdel Toro
2
64 kgPlowright
3
80 kgAugust
4
57 kgÁlvarez
5
74 kgRyan
6
56 kgMajka
7
62 kgEngelhardt
8
68 kgBaroncini
9
74 kgKonychev
10
76 kgCovi
11
66 kgKämna
12
65 kgŻelazowski
13
68 kgLangellotti
14
64 kgDik
15
77 kgCharmig
16
66 kgBudziński
17
70 kgZangerle
18
68 kg
Weight (KG) →
Result →
80
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROßSCHARTNER Felix | 64 |
| 2 | DEL TORO Isaac | 64 |
| 3 | PLOWRIGHT Jensen | 80 |
| 4 | AUGUST Andrew | 57 |
| 5 | ÁLVAREZ Héctor | 74 |
| 6 | RYAN Archie | 56 |
| 7 | MAJKA Rafał | 62 |
| 8 | ENGELHARDT Felix | 68 |
| 9 | BARONCINI Filippo | 74 |
| 10 | KONYCHEV Alexander | 76 |
| 11 | COVI Alessandro | 66 |
| 12 | KÄMNA Lennard | 65 |
| 13 | ŻELAZOWSKI Michał | 68 |
| 14 | LANGELLOTTI Victor | 64 |
| 15 | DIK Calvin | 77 |
| 16 | CHARMIG Anthon | 66 |
| 17 | BUDZIŃSKI Marcin | 70 |
| 18 | ZANGERLE Emanuel | 68 |