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.
Hall
1
52 kgAmialiusik
2
53 kgJackson
6
63 kgKirchmann
8
59 kgStephens
9
55 kgVillumsen
12
59 kgBarnes
13
52 kgCanuel
17
51 kgMagner
24
57 kgJasinska
25
57 kgHammes
26
54 kgMiller
35
52 kgPrieto
38
54 kgRamsden
39
62 kgKiesanowski
42
56 kgGoldman
49
64 kgBrennauer
55
63 kgPilote Fortin
56
55 kgRoorda
60
70 kgBeveridge
61
62 kgGuarischi
64
57 kg
1
52 kgAmialiusik
2
53 kgJackson
6
63 kgKirchmann
8
59 kgStephens
9
55 kgVillumsen
12
59 kgBarnes
13
52 kgCanuel
17
51 kgMagner
24
57 kgJasinska
25
57 kgHammes
26
54 kgMiller
35
52 kgPrieto
38
54 kgRamsden
39
62 kgKiesanowski
42
56 kgGoldman
49
64 kgBrennauer
55
63 kgPilote Fortin
56
55 kgRoorda
60
70 kgBeveridge
61
62 kgGuarischi
64
57 kg
Weight (KG) →
Result →
70
51
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALL Katie | 52 |
| 2 | AMIALIUSIK Alena | 53 |
| 6 | JACKSON Alison | 63 |
| 8 | KIRCHMANN Leah | 59 |
| 9 | STEPHENS Lauren | 55 |
| 12 | VILLUMSEN Linda | 59 |
| 13 | BARNES Hannah | 52 |
| 17 | CANUEL Karol-Ann | 51 |
| 24 | MAGNER Alexis | 57 |
| 25 | JASINSKA Małgorzata | 57 |
| 26 | HAMMES Kathrin | 54 |
| 35 | MILLER Amanda | 52 |
| 38 | PRIETO Marcela Elizabeth | 54 |
| 39 | RAMSDEN Denise | 62 |
| 42 | KIESANOWSKI Joanne | 56 |
| 49 | GOLDMAN Lindsay | 64 |
| 55 | BRENNAUER Lisa | 63 |
| 56 | PILOTE FORTIN Gabrielle | 55 |
| 60 | ROORDA Stephanie | 70 |
| 61 | BEVERIDGE Allison | 62 |
| 64 | GUARISCHI Barbara | 57 |