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 = 2 * weight - 86
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Kirchmann
2
59 kgHall
4
52 kgAmialiusik
5
53 kgJackson
7
63 kgStephens
8
55 kgHammes
12
54 kgBarnes
15
52 kgJasinska
16
57 kgVillumsen
21
59 kgMiller
27
52 kgCanuel
31
51 kgRamsden
32
62 kgPrieto
33
54 kgKiesanowski
35
56 kgMagner
40
57 kgGoldman
47
64 kgBrennauer
49
63 kgBeveridge
51
62 kgGuarischi
55
57 kgRoorda
61
70 kg
2
59 kgHall
4
52 kgAmialiusik
5
53 kgJackson
7
63 kgStephens
8
55 kgHammes
12
54 kgBarnes
15
52 kgJasinska
16
57 kgVillumsen
21
59 kgMiller
27
52 kgCanuel
31
51 kgRamsden
32
62 kgPrieto
33
54 kgKiesanowski
35
56 kgMagner
40
57 kgGoldman
47
64 kgBrennauer
49
63 kgBeveridge
51
62 kgGuarischi
55
57 kgRoorda
61
70 kg
Weight (KG) →
Result →
70
51
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KIRCHMANN Leah | 59 |
| 4 | HALL Katie | 52 |
| 5 | AMIALIUSIK Alena | 53 |
| 7 | JACKSON Alison | 63 |
| 8 | STEPHENS Lauren | 55 |
| 12 | HAMMES Kathrin | 54 |
| 15 | BARNES Hannah | 52 |
| 16 | JASINSKA Małgorzata | 57 |
| 21 | VILLUMSEN Linda | 59 |
| 27 | MILLER Amanda | 52 |
| 31 | CANUEL Karol-Ann | 51 |
| 32 | RAMSDEN Denise | 62 |
| 33 | PRIETO Marcela Elizabeth | 54 |
| 35 | KIESANOWSKI Joanne | 56 |
| 40 | MAGNER Alexis | 57 |
| 47 | GOLDMAN Lindsay | 64 |
| 49 | BRENNAUER Lisa | 63 |
| 51 | BEVERIDGE Allison | 62 |
| 55 | GUARISCHI Barbara | 57 |
| 61 | ROORDA Stephanie | 70 |