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 = 2.4 * weight - 106
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Adegeest
1
57 kgSpratt
2
55 kgWilliams
8
60 kgDoebel-Hickok
9
51 kgSteels
12
55 kgNeylan
13
52 kgManly
17
53 kgPikulik
19
54 kgStephens
22
55 kgDrummond
27
61 kgHosking
29
60 kgColes-Lyster
30
61 kgDuval
32
53 kgChristoforou
40
53 kgBaur
43
56 kgFournier
45
60 kgPirrone
51
63 kgAllen
53
55 kgKlein
55
61 kgSanguineti
56
61 kgCopponi
60
55 kgMoran
61
65 kgVerhulst-Wild
63
58 kg
1
57 kgSpratt
2
55 kgWilliams
8
60 kgDoebel-Hickok
9
51 kgSteels
12
55 kgNeylan
13
52 kgManly
17
53 kgPikulik
19
54 kgStephens
22
55 kgDrummond
27
61 kgHosking
29
60 kgColes-Lyster
30
61 kgDuval
32
53 kgChristoforou
40
53 kgBaur
43
56 kgFournier
45
60 kgPirrone
51
63 kgAllen
53
55 kgKlein
55
61 kgSanguineti
56
61 kgCopponi
60
55 kgMoran
61
65 kgVerhulst-Wild
63
58 kg
Weight (KG) →
Result →
65
51
1
63
# | Rider | Weight (KG) |
---|---|---|
1 | ADEGEEST Loes | 57 |
2 | SPRATT Amanda | 55 |
8 | WILLIAMS Georgia | 60 |
9 | DOEBEL-HICKOK Krista | 51 |
12 | STEELS Claire | 55 |
13 | NEYLAN Rachel | 52 |
17 | MANLY Alexandra | 53 |
19 | PIKULIK Daria | 54 |
22 | STEPHENS Lauren | 55 |
27 | DRUMMOND Michaela | 61 |
29 | HOSKING Chloe | 60 |
30 | COLES-LYSTER Maggie | 61 |
32 | DUVAL Eugénie | 53 |
40 | CHRISTOFOROU Antri | 53 |
43 | BAUR Caroline | 56 |
45 | FOURNIER Roxane | 60 |
51 | PIRRONE Elena | 63 |
53 | ALLEN Jessica | 55 |
55 | KLEIN Lisa | 61 |
56 | SANGUINETI Ilaria | 61 |
60 | COPPONI Clara | 55 |
61 | MORAN Chloe | 65 |
63 | VERHULST-WILD Gladys | 58 |