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 + 29
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Reihs
1
75 kgBlot
2
71 kgBonnafond
3
68 kgGène
6
67 kgRousseau
7
70 kgDumoulin
10
57 kgJanse van Rensburg
11
74 kgLoubet
13
66 kgBernaudeau
14
62 kgBuffaz
17
64 kgBérard
20
70 kgHasnaoui
21
80 kgCharteau
22
67 kgVenter
23
70 kgMcLeod
24
66 kgKangangi
28
64 kgMoinard
31
69 kgClaude
41
69 kgMoncoutié
58
69 kgArrieta
60
68 kgGastauer
61
73 kgGirdlestone
65
66 kgQuéméneur
66
67 kg
1
75 kgBlot
2
71 kgBonnafond
3
68 kgGène
6
67 kgRousseau
7
70 kgDumoulin
10
57 kgJanse van Rensburg
11
74 kgLoubet
13
66 kgBernaudeau
14
62 kgBuffaz
17
64 kgBérard
20
70 kgHasnaoui
21
80 kgCharteau
22
67 kgVenter
23
70 kgMcLeod
24
66 kgKangangi
28
64 kgMoinard
31
69 kgClaude
41
69 kgMoncoutié
58
69 kgArrieta
60
68 kgGastauer
61
73 kgGirdlestone
65
66 kgQuéméneur
66
67 kg
Weight (KG) →
Result →
80
57
1
66
# | Rider | Weight (KG) |
---|---|---|
1 | REIHS Michael | 75 |
2 | BLOT Guillaume | 71 |
3 | BONNAFOND Guillaume | 68 |
6 | GÈNE Yohann | 67 |
7 | ROUSSEAU Nicolas | 70 |
10 | DUMOULIN Samuel | 57 |
11 | JANSE VAN RENSBURG Reinardt | 74 |
13 | LOUBET Julien | 66 |
14 | BERNAUDEAU Giovanni | 62 |
17 | BUFFAZ Mickaël | 64 |
20 | BÉRARD Julien | 70 |
21 | HASNAOUI Maher | 80 |
22 | CHARTEAU Anthony | 67 |
23 | VENTER Jaco | 70 |
24 | MCLEOD Ian | 66 |
28 | KANGANGI Suleiman | 64 |
31 | MOINARD Amaël | 69 |
41 | CLAUDE Mathieu | 69 |
58 | MONCOUTIÉ David | 69 |
60 | ARRIETA José Luis | 68 |
61 | GASTAUER Ben | 73 |
65 | GIRDLESTONE Dylan | 66 |
66 | QUÉMÉNEUR Perrig | 67 |