Kalkulator koefisien korelasi

Dimana r nyaéta jarak antara dua titik.

Korelasi —

R² (pemisahan) —

Kuat —

Kovariasi —

Regression slope —

Regression intercept —

Pasangan —

Hasilne bakal dioptimalake nalika sampeyan ngetik.

Ngenai kalkulator iki

is a metric used to measure the strength of a linear relationship between two variables. It is used to measure the correlation between two variables. The Pearson’s correlation coefficient (r) is a metric used to measure the strength of a linear relationship between two variables. It is used to measure the strength of a linear relationship between two variables. It is used to measure the strength of a linear relationship between two variables. It is used to measure the strength of a linear relationship between two variables. It is used to measure the strength of a linear relationship between two variables. The WorkWorked example: for x = 1, 2, 3, 4, 5 and y = 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91,

Takon-takon kang kerep diajukake

Apa sing bisa dituduhake koefisien korelasi?

Ieu ngakuantipkeun sabaraha deukeut dua variabel ngaleupaskeun babarengan dina garis lurus. Nilai-nilai di sabudeureun +1 atawa -1 ngandung harti hubungan linear anu kuat, sedengkeun nilai-nilai di sabudeureun 0 ngandung harti kurang atawa teu aya asosiasi linear. Tandana ngagambarkeun arah hubungan.

Apa korelasi tegese sebab-akibat?

Teu. Korélasi luhur ngagambarkeun dua variabel nu ngaleupaskeun babarengan tapi henteu nyababkeun anu sanésna. Faktor katilu anu disimpen, atanapi kamungkinan murni, tiasa nyiptakeun korelasi kuat tanpa aya hubungan sabab.

Apa tegese R²?

R² nyaéta kuadrat koefisien korelasi. Éta proporsi variasi dina y dijelaskeun ku hubungan linear sareng x — r tina 0.8 masihan R² tina 0.64, hartosna 64% tina variasi diitung.

Apa sing dianggep minangka korelasi kuat?

Sakumaha panduan kasar, hiji absolut r di handapeun 0.3 lemah, sakitar 0.3 ka 0.5 rata-rata, 0.5 ka 0.7 rata-rata ka kuat, sarta di luhur 0.7 kuat. Kalkulator ieu labeling kakuatan pikeun anjeun, tapi cutoffs rasional beda-beda gumantung kana widang.

Apa tegese korelasi negatif?

R négatip hartina variabel-variabelna gerak dina arah anu béda: saperti hiji naek, anu séjénna cenderung turun. R -0.9 mangrupa hubungan linear anu kuat saperti +0.9, ngan dibalikkeun dina arah.

Apa bedane antara korelasi lan kovarians?

Covariance ngukur kumaha dua variabel ngarobah babarengan tapi ukuranna gumantung kana unitna, jadi susah pikeun ngartikeun. Pearson's r nyaéta covariance dibagi ku dua standar deviasi, anu ngarescales éta ka hiji unit-free -1 ka +1 range.

Carane garis regresi gegayutan karo korelasi?

Dina kasus ieu, titik-titik anu paling caket ka titik anu paling jauh digambarkeun ku garis, sarta titik-titik anu paling jauh ti titik-titik anu paling caket digambarkeun ku garis.

API — gunakake kalkulator iki saka kode

Ngadongékeun kalkulator ieu minangka titik akhir JSON bébas — teu peryogi kunci. Kirim nilai medan di handapeun minangka parameter pitakonan atawa JSON. Waca dokumen lengkap API →

Tampilan

GET https://calculator.free/api/v1/correlation-coefficient/

curl

curl "https://calculator.free/api/v1/correlation-coefficient/?x=1, 2, 3, 4, 5&y=2, 4, 5, 4, 6"

JavaScript `fetch()`

const r = await fetch(
  "https://calculator.free/api/v1/correlation-coefficient/?" + new URLSearchParams({
    "x": "1, 2, 3, 4, 5",
    "y": "2, 4, 5, 4, 6"
  }));
const data = await r.json();
console.log(data.results);

Hasilna nyaéta perkiraan pikeun pituduh umum, henteu saran finansial, médis atanapi pajak.

Ngenai kalkulator iki

Takon-takon kang kerep diajukake

Kalkulator

Tampilan

curl

JavaScript fetch()

JavaScript `fetch()`