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 = 1.5 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Kirchmann
1
59 kgHall
4
52 kgStephens
5
55 kgAmialiusik
7
53 kgJackson
9
63 kgHammes
10
54 kgJasinska
11
57 kgCanuel
16
51 kgMiller
22
52 kgRamsden
25
62 kgKiesanowski
26
56 kgPrieto
27
54 kgBarnes
33
52 kgBeveridge
39
62 kgBrennauer
42
63 kgVillumsen
43
59 kgGoldman
48
64 kgMagner
53
57 kgGuarischi
57
57 kg
1
59 kgHall
4
52 kgStephens
5
55 kgAmialiusik
7
53 kgJackson
9
63 kgHammes
10
54 kgJasinska
11
57 kgCanuel
16
51 kgMiller
22
52 kgRamsden
25
62 kgKiesanowski
26
56 kgPrieto
27
54 kgBarnes
33
52 kgBeveridge
39
62 kgBrennauer
42
63 kgVillumsen
43
59 kgGoldman
48
64 kgMagner
53
57 kgGuarischi
57
57 kg
Weight (KG) →
Result →
64
51
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRCHMANN Leah | 59 |
| 4 | HALL Katie | 52 |
| 5 | STEPHENS Lauren | 55 |
| 7 | AMIALIUSIK Alena | 53 |
| 9 | JACKSON Alison | 63 |
| 10 | HAMMES Kathrin | 54 |
| 11 | JASINSKA Małgorzata | 57 |
| 16 | CANUEL Karol-Ann | 51 |
| 22 | MILLER Amanda | 52 |
| 25 | RAMSDEN Denise | 62 |
| 26 | KIESANOWSKI Joanne | 56 |
| 27 | PRIETO Marcela Elizabeth | 54 |
| 33 | BARNES Hannah | 52 |
| 39 | BEVERIDGE Allison | 62 |
| 42 | BRENNAUER Lisa | 63 |
| 43 | VILLUMSEN Linda | 59 |
| 48 | GOLDMAN Lindsay | 64 |
| 53 | MAGNER Alexis | 57 |
| 57 | GUARISCHI Barbara | 57 |