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 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kirchmann
1
59 kgBarnes
2
52 kgMagner
8
57 kgGuarischi
11
57 kgJackson
14
63 kgJasinska
16
57 kgHall
17
52 kgBeveridge
19
62 kgKiesanowski
20
56 kgStephens
24
55 kgGoldman
28
64 kgVillumsen
31
59 kgAmialiusik
36
53 kgBrennauer
37
63 kgHammes
42
54 kgRamsden
43
62 kgMiller
46
52 kgRoorda
48
70 kgPrieto
53
54 kgCanuel
61
51 kg
1
59 kgBarnes
2
52 kgMagner
8
57 kgGuarischi
11
57 kgJackson
14
63 kgJasinska
16
57 kgHall
17
52 kgBeveridge
19
62 kgKiesanowski
20
56 kgStephens
24
55 kgGoldman
28
64 kgVillumsen
31
59 kgAmialiusik
36
53 kgBrennauer
37
63 kgHammes
42
54 kgRamsden
43
62 kgMiller
46
52 kgRoorda
48
70 kgPrieto
53
54 kgCanuel
61
51 kg
Weight (KG) →
Result →
70
51
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRCHMANN Leah | 59 |
| 2 | BARNES Hannah | 52 |
| 8 | MAGNER Alexis | 57 |
| 11 | GUARISCHI Barbara | 57 |
| 14 | JACKSON Alison | 63 |
| 16 | JASINSKA Małgorzata | 57 |
| 17 | HALL Katie | 52 |
| 19 | BEVERIDGE Allison | 62 |
| 20 | KIESANOWSKI Joanne | 56 |
| 24 | STEPHENS Lauren | 55 |
| 28 | GOLDMAN Lindsay | 64 |
| 31 | VILLUMSEN Linda | 59 |
| 36 | AMIALIUSIK Alena | 53 |
| 37 | BRENNAUER Lisa | 63 |
| 42 | HAMMES Kathrin | 54 |
| 43 | RAMSDEN Denise | 62 |
| 46 | MILLER Amanda | 52 |
| 48 | ROORDA Stephanie | 70 |
| 53 | PRIETO Marcela Elizabeth | 54 |
| 61 | CANUEL Karol-Ann | 51 |