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 = -1.4 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Bertizzolo
3
54 kgWilliams
5
66 kgTeutenberg
9
53 kgBerteau
11
57 kgFortin
13
55 kgKasper
17
59 kgKerbaol
19
57 kgVandenbulcke
22
60 kgCastrique
26
63 kgMorichon
32
56 kgMalcotti
34
52 kgZabelinskaya
36
52 kgAlzini
39
64 kgFouquenet
47
60 kgPéloquin
49
55 kgChristoforou
53
53 kgConfalonieri
54
56 kgLudwig
56
55 kgAndersen
59
55 kgAllin
67
58 kgSimmonds
69
55 kgHayes
81
55 kg
3
54 kgWilliams
5
66 kgTeutenberg
9
53 kgBerteau
11
57 kgFortin
13
55 kgKasper
17
59 kgKerbaol
19
57 kgVandenbulcke
22
60 kgCastrique
26
63 kgMorichon
32
56 kgMalcotti
34
52 kgZabelinskaya
36
52 kgAlzini
39
64 kgFouquenet
47
60 kgPéloquin
49
55 kgChristoforou
53
53 kgConfalonieri
54
56 kgLudwig
56
55 kgAndersen
59
55 kgAllin
67
58 kgSimmonds
69
55 kgHayes
81
55 kg
Weight (KG) →
Result →
66
52
3
81
# | Rider | Weight (KG) |
---|---|---|
3 | BERTIZZOLO Sofia | 54 |
5 | WILLIAMS Lily | 66 |
9 | TEUTENBERG Lea Lin | 53 |
11 | BERTEAU Victoire | 57 |
13 | FORTIN Valentine | 55 |
17 | KASPER Romy | 59 |
19 | KERBAOL Cédrine | 57 |
22 | VANDENBULCKE Jesse | 60 |
26 | CASTRIQUE Alana | 63 |
32 | MORICHON Anaïs | 56 |
34 | MALCOTTI Barbara | 52 |
36 | ZABELINSKAYA Olga | 52 |
39 | ALZINI Martina | 64 |
47 | FOUQUENET Amandine | 60 |
49 | PÉLOQUIN Joséphine | 55 |
53 | CHRISTOFOROU Antri | 53 |
54 | CONFALONIERI Maria Giulia | 56 |
56 | LUDWIG Hannah | 55 |
59 | ANDERSEN Susanne | 55 |
67 | ALLIN Pauline | 58 |
69 | SIMMONDS Hayley | 55 |
81 | HAYES Connie | 55 |