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 = -1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Schmid
1
70 kgPellaud
2
70 kgBissegger
3
78 kgHirschi
5
61 kgKüng
6
83 kgJacobs
7
78 kgReichenbach
8
64 kgDillier
9
75 kgChristen
11
60 kgBohli
12
71 kgBalmer
13
70 kgVitzthum
20
70 kgThalmann
21
61 kgRüegg
22
66 kgLienhard
23
73 kgBarhoumi
27
73 kgBadilatti
28
62 kgDebons
31
65 kgVoisard
32
56 kgTambarikas
40
61 kgKurmann
48
64 kgRiesen
54
62 kgJolidon
57
71 kg
1
70 kgPellaud
2
70 kgBissegger
3
78 kgHirschi
5
61 kgKüng
6
83 kgJacobs
7
78 kgReichenbach
8
64 kgDillier
9
75 kgChristen
11
60 kgBohli
12
71 kgBalmer
13
70 kgVitzthum
20
70 kgThalmann
21
61 kgRüegg
22
66 kgLienhard
23
73 kgBarhoumi
27
73 kgBadilatti
28
62 kgDebons
31
65 kgVoisard
32
56 kgTambarikas
40
61 kgKurmann
48
64 kgRiesen
54
62 kgJolidon
57
71 kg
Weight (KG) →
Result →
83
56
1
57
# | Rider | Weight (KG) |
---|---|---|
1 | SCHMID Mauro | 70 |
2 | PELLAUD Simon | 70 |
3 | BISSEGGER Stefan | 78 |
5 | HIRSCHI Marc | 61 |
6 | KÜNG Stefan | 83 |
7 | JACOBS Johan | 78 |
8 | REICHENBACH Sébastien | 64 |
9 | DILLIER Silvan | 75 |
11 | CHRISTEN Jan | 60 |
12 | BOHLI Tom | 71 |
13 | BALMER Alexandre | 70 |
20 | VITZTHUM Simon | 70 |
21 | THALMANN Roland | 61 |
22 | RÜEGG Lukas | 66 |
23 | LIENHARD Fabian | 73 |
27 | BARHOUMI Ilian Alexandre | 73 |
28 | BADILATTI Matteo | 62 |
31 | DEBONS Antoine | 65 |
32 | VOISARD Yannis | 56 |
40 | TAMBARIKAS Nico | 61 |
48 | KURMANN André | 64 |
54 | RIESEN Tim | 62 |
57 | JOLIDON Cédric | 71 |