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 = -0.5 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Blaudzun
1
66 kgBreschel
3
70 kgJohansen
4
78 kgMichaelsen
5
79 kgPiil
6
65 kgChristensen
11
69 kgBak
12
76 kgHøj
13
80 kgPedersen
14
62 kgReihs
16
75 kgSørensen
17
71 kgLund
22
65 kgHamburger
25
58 kgChristensen
29
66 kgMortensen
30
70 kgKlostergaard
33
69 kgSørensen
41
64 kgNissen
48
65 kgMørkøv
55
71 kgJørgensen
60
60 kgSandstød
69
74 kgVandborg
71
75 kg
1
66 kgBreschel
3
70 kgJohansen
4
78 kgMichaelsen
5
79 kgPiil
6
65 kgChristensen
11
69 kgBak
12
76 kgHøj
13
80 kgPedersen
14
62 kgReihs
16
75 kgSørensen
17
71 kgLund
22
65 kgHamburger
25
58 kgChristensen
29
66 kgMortensen
30
70 kgKlostergaard
33
69 kgSørensen
41
64 kgNissen
48
65 kgMørkøv
55
71 kgJørgensen
60
60 kgSandstød
69
74 kgVandborg
71
75 kg
Weight (KG) →
Result →
80
58
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLAUDZUN Michael | 66 |
| 3 | BRESCHEL Matti | 70 |
| 4 | JOHANSEN Allan | 78 |
| 5 | MICHAELSEN Lars | 79 |
| 6 | PIIL Jakob Storm | 65 |
| 11 | CHRISTENSEN Mads | 69 |
| 12 | BAK Lars Ytting | 76 |
| 13 | HØJ Frank | 80 |
| 14 | PEDERSEN Martin | 62 |
| 16 | REIHS Michael | 75 |
| 17 | SØRENSEN Nicki | 71 |
| 22 | LUND Anders | 65 |
| 25 | HAMBURGER Bo | 58 |
| 29 | CHRISTENSEN Bekim Leif | 66 |
| 30 | MORTENSEN Martin | 70 |
| 33 | KLOSTERGAARD Kasper | 69 |
| 41 | SØRENSEN Chris Anker | 64 |
| 48 | NISSEN Søren | 65 |
| 55 | MØRKØV Michael | 71 |
| 60 | JØRGENSEN René | 60 |
| 69 | SANDSTØD Michael | 74 |
| 71 | VANDBORG Brian Bach | 75 |