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 = -0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Pawlowska
3
60 kgBoyarskaya
4
67 kgMustonen
7
58 kgde Boer
8
57 kgCanuel
11
51 kgAntoshina
16
55 kgLópez
17
54 kgPitel
18
52 kgVysotska
25
55 kgRoorda
27
70 kgMagner
39
57 kgManeephan
45
59 kgVieceli
48
59 kgRodriguez
53
58 kgGrassi
56
56 kgMarkus
66
61 kgAllen
68
55 kg
3
60 kgBoyarskaya
4
67 kgMustonen
7
58 kgde Boer
8
57 kgCanuel
11
51 kgAntoshina
16
55 kgLópez
17
54 kgPitel
18
52 kgVysotska
25
55 kgRoorda
27
70 kgMagner
39
57 kgManeephan
45
59 kgVieceli
48
59 kgRodriguez
53
58 kgGrassi
56
56 kgMarkus
66
61 kgAllen
68
55 kg
Weight (KG) →
Result →
70
51
3
68
# | Rider | Weight (KG) |
---|---|---|
3 | PAWLOWSKA Katarzyna | 60 |
4 | BOYARSKAYA Natalia | 67 |
7 | MUSTONEN Sara | 58 |
8 | DE BOER Sophie | 57 |
11 | CANUEL Karol-Ann | 51 |
16 | ANTOSHINA Tatiana | 55 |
17 | LÓPEZ Belén | 54 |
18 | PITEL Edwige | 52 |
25 | VYSOTSKA Ievgeniia | 55 |
27 | ROORDA Stephanie | 70 |
39 | MAGNER Alexis | 57 |
45 | MANEEPHAN Jutatip | 59 |
48 | VIECELI Lara | 59 |
53 | RODRIGUEZ Carolina | 58 |
56 | GRASSI Giuseppina | 56 |
66 | MARKUS Riejanne | 61 |
68 | ALLEN Jessica | 55 |