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 - 41
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Small
1
55 kgCanuel
2
51 kgSolovey
4
56 kgStephens
5
55 kgAmialiusik
6
53 kgWhitten
8
67 kgDuehring
10
54 kgMajerus
11
56 kgKirchmann
13
59 kgBecker
14
64 kgRamsden
16
62 kgBergen
23
64 kgShekel
24
58 kgJackson
29
63 kgPilote Fortin
32
55 kgBaril
44
56 kgHoffmann
53
62 kg
1
55 kgCanuel
2
51 kgSolovey
4
56 kgStephens
5
55 kgAmialiusik
6
53 kgWhitten
8
67 kgDuehring
10
54 kgMajerus
11
56 kgKirchmann
13
59 kgBecker
14
64 kgRamsden
16
62 kgBergen
23
64 kgShekel
24
58 kgJackson
29
63 kgPilote Fortin
32
55 kgBaril
44
56 kgHoffmann
53
62 kg
Weight (KG) →
Result →
67
51
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMALL Carmen | 55 |
| 2 | CANUEL Karol-Ann | 51 |
| 4 | SOLOVEY Hanna | 56 |
| 5 | STEPHENS Lauren | 55 |
| 6 | AMIALIUSIK Alena | 53 |
| 8 | WHITTEN Tara | 67 |
| 10 | DUEHRING Jasmin | 54 |
| 11 | MAJERUS Christine | 56 |
| 13 | KIRCHMANN Leah | 59 |
| 14 | BECKER Charlotte | 64 |
| 16 | RAMSDEN Denise | 62 |
| 23 | BERGEN Sara | 64 |
| 24 | SHEKEL Olga | 58 |
| 29 | JACKSON Alison | 63 |
| 32 | PILOTE FORTIN Gabrielle | 55 |
| 44 | BARIL Olivia | 56 |
| 53 | HOFFMANN Chantal | 62 |