GET /api/questions/11867/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"url": "https://numbas.mathcentre.ac.uk/api/questions/11867/?format=api",
"name": "Multiple and partial correlation(old)",
"published": true,
"project": "https://numbas.mathcentre.ac.uk/api/projects/601/?format=api",
"author": {
"url": "https://numbas.mathcentre.ac.uk/api/users/697/?format=api",
"profile": "https://numbas.mathcentre.ac.uk/accounts/profile/697/?format=api",
"full_name": "Newcastle University Mathematics and Statistics",
"pk": 697,
"avatar": {
"20x20": "https://numbas.mathcentre.ac.uk/media/avatars/UnivNcle-shield_mKn5GZP.20x20.png",
"40x40": "https://numbas.mathcentre.ac.uk/media/avatars/UnivNcle-shield_mKn5GZP.40x40.png",
"150x150": "https://numbas.mathcentre.ac.uk/media/avatars/UnivNcle-shield_mKn5GZP.150x150.png"
}
},
"edit": "https://numbas.mathcentre.ac.uk/question/11867/multiple-and-partial-correlation-old/?format=api",
"preview": "https://numbas.mathcentre.ac.uk/question/11867/multiple-and-partial-correlation-old/preview/?format=api",
"download": "https://numbas.mathcentre.ac.uk/question/11867/multiple-and-partial-correlation-old.zip?format=api",
"source": "https://numbas.mathcentre.ac.uk/question/11867/multiple-and-partial-correlation-old.exam?format=api",
"metadata": {
"notes": "<p>The correlation coefficients are generated by $Y$ a random sample of 10 numbers between 5 and 20, $X_1$ obtained from $Y$ by adding on some noise and similarly for $X_2$. The correlation coefficients are then worked out from these samples.</p>",
"licence": "Creative Commons Attribution 4.0 International",
"description": "<p>Multiple correlation question. Given the correlation coefficent of $Y$ with $X_1$ is $r_{01}$, the correlation coefficent of $Y$ with $X_2$ is $r_{02}$ and the correlation coefficent of $X_1$ with $X_2$ is $r_{12}$ then explain the proportion of variablity of $Y$. Also find the partial corr coeff between $Y$ and $X_2$ after fitting $X_1$ and find how much of the remaining variability in $Y$ is explained by $X_2$ after fitting $X_1$.</p>"
},
"status": null,
"resources": []
}
