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 + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Wærenskjold
1
92 kgJakobsen
2
78 kgPedersen
3
76 kgAndresen
4
69 kgKragh Andersen
5
73 kgJohansen
6
77 kgBraet
7
68 kgSkjelmose
10
65 kgCort
11
68 kgPlowright
14
80 kgStokbro
16
70 kgColnaghi
20
63 kgAaskov Pallesen
21
60 kgGrignard
23
68 kgKaczmarek
24
66 kgStampe
25
79 kg
1
92 kgJakobsen
2
78 kgPedersen
3
76 kgAndresen
4
69 kgKragh Andersen
5
73 kgJohansen
6
77 kgBraet
7
68 kgSkjelmose
10
65 kgCort
11
68 kgPlowright
14
80 kgStokbro
16
70 kgColnaghi
20
63 kgAaskov Pallesen
21
60 kgGrignard
23
68 kgKaczmarek
24
66 kgStampe
25
79 kg
Weight (KG) →
Result →
92
60
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WÆRENSKJOLD Søren | 92 |
| 2 | JAKOBSEN Fabio | 78 |
| 3 | PEDERSEN Mads | 76 |
| 4 | ANDRESEN Tobias Lund | 69 |
| 5 | KRAGH ANDERSEN Søren | 73 |
| 6 | JOHANSEN Julius | 77 |
| 7 | BRAET Vito | 68 |
| 10 | SKJELMOSE Mattias | 65 |
| 11 | CORT Magnus | 68 |
| 14 | PLOWRIGHT Jensen | 80 |
| 16 | STOKBRO Andreas | 70 |
| 20 | COLNAGHI Luca | 63 |
| 21 | AASKOV PALLESEN Jeppe | 60 |
| 23 | GRIGNARD Sébastien | 68 |
| 24 | KACZMAREK Jakub | 66 |
| 25 | STAMPE Daniel | 79 |