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 = 0.6 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Abbott
1
52 kgHall
2
52 kgArmstrong
3
58 kgPoidevin
4
56 kgYonamine
9
51 kgVillumsen
11
59 kgStephens
14
55 kgLaws
16
54 kgKiesanowski
20
56 kgDuehring
22
54 kgLuebke
25
54 kgRoorda
28
70 kgPeñuela
29
53 kgSimmonds
30
55 kgPrieto
31
54 kgJackson
32
63 kgBergen
36
64 kgThomas
40
58 kgGoldman
43
64 kgHammes
57
54 kgPilote Fortin
68
55 kgMiller
74
52 kgSaarelainen
81
58 kg
1
52 kgHall
2
52 kgArmstrong
3
58 kgPoidevin
4
56 kgYonamine
9
51 kgVillumsen
11
59 kgStephens
14
55 kgLaws
16
54 kgKiesanowski
20
56 kgDuehring
22
54 kgLuebke
25
54 kgRoorda
28
70 kgPeñuela
29
53 kgSimmonds
30
55 kgPrieto
31
54 kgJackson
32
63 kgBergen
36
64 kgThomas
40
58 kgGoldman
43
64 kgHammes
57
54 kgPilote Fortin
68
55 kgMiller
74
52 kgSaarelainen
81
58 kg
Weight (KG) →
Result →
70
51
1
81
# | Rider | Weight (KG) |
---|---|---|
1 | ABBOTT Mara | 52 |
2 | HALL Katie | 52 |
3 | ARMSTRONG Kristin | 58 |
4 | POIDEVIN Sara | 56 |
9 | YONAMINE Eri | 51 |
11 | VILLUMSEN Linda | 59 |
14 | STEPHENS Lauren | 55 |
16 | LAWS Sharon | 54 |
20 | KIESANOWSKI Joanne | 56 |
22 | DUEHRING Jasmin | 54 |
25 | LUEBKE Jennifer | 54 |
28 | ROORDA Stephanie | 70 |
29 | PEÑUELA Diana | 53 |
30 | SIMMONDS Hayley | 55 |
31 | PRIETO Marcela Elizabeth | 54 |
32 | JACKSON Alison | 63 |
36 | BERGEN Sara | 64 |
40 | THOMAS Leah | 58 |
43 | GOLDMAN Lindsay | 64 |
57 | HAMMES Kathrin | 54 |
68 | PILOTE FORTIN Gabrielle | 55 |
74 | MILLER Amanda | 52 |
81 | SAARELAINEN Sari | 58 |