[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"sanity-UecN_HF9LAgJklBtqOztCAFQOrjazFISJzXB8C3zKJg":3,"sanity-YN-BCXzvILv5_l6PVN7cfstnW_WTmnHEdC15xB6-0s0":243},{"data":4,"sourceMap":-1},{"latestPodcast":5,"latestReleases":14,"post":39,"recent":218},[6],{"_id":7,"publishedAt":8,"slug":9,"sponsored":12,"title":13},"4d0175f4-40a8-47eb-9bb3-a453b326aa7d","2026-07-03T07:40:00.000Z",{"_type":10,"current":11},"slug","the-good-the-bad-and-the-ai-apps",null,"The good, the bad, and the AI apps",[15,21,27,33],{"_id":16,"publishedAt":17,"slug":18,"title":20},"eb5b66eb-9410-4329-83bb-22bbff39402a","2026-04-28T13:00:00.000Z",{"_type":10,"current":19},"turn-scattered-knowledge-into-trusted-intelligence","Turning scattered knowledge into trusted intelligence: Stack Internal 2026.3",{"_id":22,"publishedAt":23,"slug":24,"title":26},"369c2401-b62e-4a37-8ff8-bf603023ecad","2026-03-02T15:03:00.988Z",{"_type":10,"current":25},"what-s-new-at-stack-overflow-march-2026","What’s new at Stack Overflow: March 2026",{"_id":28,"publishedAt":29,"slug":30,"title":32},"5e9053a4-07ea-447c-91ea-29e0b6228537","2026-02-02T15:00:00.000Z",{"_type":10,"current":31},"what-s-new-at-stack-overflow-february-2026","What’s new at Stack Overflow: February 2026",{"_id":34,"publishedAt":35,"slug":36,"title":38},"a1b538eb-a8a6-46d0-80a1-ac70ec9bb935","2026-01-05T10:00:00.000-05:00",{"_type":10,"current":37},"what-s-new-at-stack-overflow-january-2026","What’s new at Stack Overflow: January 2026",{"_createdAt":40,"_id":41,"_rev":42,"_type":43,"_updatedAt":44,"author":45,"body":62,"comments":182,"dateUrl":183,"excerpt":184,"image":185,"legacyBody":188,"product":12,"publishedAt":191,"slug":192,"sponsored":12,"tags":194,"title":217,"visible":182},"2023-05-25T09:39:18Z","wp-post-18186","dgl3SCUzppW3U2LvCoSupg","blogPost","2023-07-13T14:55:59Z",[46],{"_createdAt":47,"_id":48,"_rev":49,"_type":50,"_updatedAt":51,"avatar":52,"bio":57,"employee":58,"name":59,"slug":60},"2023-05-23T16:27:18Z","wp-author-cap-17508","07ZbrKPSUrjrV4wQ6fDpaa","blogAuthor","2023-06-20T15:05:10Z",{"_type":53,"asset":54},"image",{"_ref":55,"_type":56},"image-8c28cb2ef9d5c7ef909c7685c3808e5c66f17aeb-400x400-jpg","reference","Curriculum Developer, Codecademy","none","Sophie Sommer",{"current":61},"sophie-sommer",[63,74,78,86,100,111,122,163],{"_key":64,"_type":65,"children":66,"markDefs":72,"style":73},"b8f1456e4f47","block",[67],{"_key":68,"_type":69,"marks":70,"text":71},"b8f1456e4f470","span",[],"In the third lesson of the series, we'll implement our first linear regression model with multiple predictors (this is called \"multiple linear regression\"). As an example, we'll use a simulated dataset to predict student quiz scores. In the process, we'll again practice our graphing and Python skills.",[],"normal",{"_key":75,"_type":76,"markDefs":12,"url":77},"61229b3c18b4","embed","https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FGCz1Xr8vqeQ?start=126",{"_key":79,"_type":65,"children":80,"markDefs":85,"style":73},"ea9e84a51bf0",[81],{"_key":82,"_type":69,"marks":83,"text":84},"ea9e84a51bf00",[],"Here are some Stack Overflow questions related to the work we did in today's session:",[],{"_key":87,"_type":65,"children":88,"level":94,"listItem":95,"markDefs":96,"style":73},"bdd0de026992",[89],{"_key":90,"_type":69,"marks":91,"text":93},"bdd0de0269920",[92],"f25994fc8cb1","Multiple linear regression in Python",1,"bullet",[97],{"_key":92,"_type":98,"href":99,"reference":12},"link","https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F11479064\u002Fmultiple-linear-regression-in-python",{"_key":101,"_type":65,"children":102,"level":94,"listItem":95,"markDefs":108,"style":73},"31a49447ef66",[103],{"_key":104,"_type":69,"marks":105,"text":107},"31a49447ef660",[106],"838709dabada","Understanding statsmodels linear regression",[109],{"_key":106,"_type":98,"href":110,"reference":12},"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F50641585\u002Funderstanding-statsmodels-linear-regression",{"_key":112,"_type":65,"children":113,"level":94,"listItem":95,"markDefs":119,"style":73},"aa24f6822b2c",[114],{"_key":115,"_type":69,"marks":116,"text":118},"aa24f6822b2c0",[117],"17b33b000abf","Multiple linear regression Python statsmodel shows predictorVariable[T.x] in the output",[120],{"_key":117,"_type":98,"href":121,"reference":12},"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F49962740\u002Fmultiple-linear-regression-python-statsmodel-shows-predictorvariablet-x-in-the",{"_key":123,"_type":65,"children":124,"markDefs":156,"style":73},"5e1944e88c52",[125,129,134,138,143,147,152],{"_key":126,"_type":69,"marks":127,"text":128},"5e1944e88c520",[],"If you want to ask any questions or provide feedback on the lesson, you are welcome to leave a comment on the ",{"_key":130,"_type":69,"marks":131,"text":133},"5e1944e88c521",[132],"b3fda7501f67","YouTube recording of this lesson",{"_key":135,"_type":69,"marks":136,"text":137},"5e1944e88c522",[],". If you’d like to watch a session live, follow the ",{"_key":139,"_type":69,"marks":140,"text":142},"5e1944e88c523",[141],"8db021f664e4","Codecademy YouTube channel",{"_key":144,"_type":69,"marks":145,"text":146},"5e1944e88c524",[],". We'll be live again on Tuesday, June 8 at 11am EDT to discuss the matrix representation of the linear regression problem. You can join that session ",{"_key":148,"_type":69,"marks":149,"text":151},"5e1944e88c525",[150],"0e5d9ce0c0f4","here",{"_key":153,"_type":69,"marks":154,"text":155},"5e1944e88c526",[],".",[157,159,161],{"_key":132,"_type":98,"href":158,"reference":12},"https:\u002F\u002Fyoutu.be\u002FGCz1Xr8vqeQ?t=126",{"_key":141,"_type":98,"href":160,"reference":12},"https:\u002F\u002Fwww.youtube.com\u002Fc\u002Fcodecademy\u002Ffeatured",{"_key":150,"_type":98,"href":162,"reference":12},"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=78c5ohzcWYQ",{"_key":164,"_type":65,"children":165,"markDefs":179,"style":73},"d1d0ee37c7c5",[166,170,175],{"_key":167,"_type":69,"marks":168,"text":169},"d1d0ee37c7c50",[],"Finally, if you want even more linear regression content, you can sign up for the ",{"_key":171,"_type":69,"marks":172,"text":174},"d1d0ee37c7c51",[173],"8ebc80356f72","Linear Regression in Python interactive course",{"_key":176,"_type":69,"marks":177,"text":178},"d1d0ee37c7c52",[]," this series was based on. This course was developed by Sophie and has many more quizzes, projects, and helpful nuggets that we can’t fit into our streams!",[180],{"_key":173,"_type":98,"href":181,"reference":12},"https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Flinear-regression-mssp?utm_source=stack_overflow&utm_medium=partners&utm_content=cclive_regression_1",true,"2021\u002F06\u002F06","",{"_type":53,"asset":186},{"_ref":187,"_type":56},"image-f5b272e299c874f83358613fe0855ad7f7ea164c-2400x1240-png",{"code":189,"language":190},"\u003C!-- wp:paragraph -->\n\u003Cp>In the third lesson of the series, we'll implement our first linear regression model with multiple predictors (this is called \"multiple linear regression\"). As an example, we'll use a simulated dataset to predict student quiz scores. In the process, we'll again practice our graphing and Python skills.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:html -->\n\u003Ciframe width=\"560\" height=\"560\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FGCz1Xr8vqeQ?start=126\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\u003C\u002Fiframe>\n\u003C!-- \u002Fwp:html -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Here are some Stack Overflow questions related to the work we did in today's session:\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:jetpack\u002Fmarkdown {\"source\":\"- [Multiple linear regression in Python](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F11479064\u002Fmultiple-linear-regression-in-python)\"} -->\n\u003Cdiv class=\"wp-block-jetpack-markdown\">\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F11479064\u002Fmultiple-linear-regression-in-python\">Multiple linear regression in Python\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fdiv>\n\u003C!-- \u002Fwp:jetpack\u002Fmarkdown -->\n\n\u003C!-- wp:jetpack\u002Fmarkdown {\"source\":\"- [Understanding statsmodels linear regression](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F50641585\u002Funderstanding-statsmodels-linear-regression)\"} -->\n\u003Cdiv class=\"wp-block-jetpack-markdown\">\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F50641585\u002Funderstanding-statsmodels-linear-regression\">Understanding statsmodels linear regression\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fdiv>\n\u003C!-- \u002Fwp:jetpack\u002Fmarkdown -->\n\n\u003C!-- wp:jetpack\u002Fmarkdown {\"source\":\"- [Multiple linear regression Python statsmodel shows predictorVariable[T.x] in the output](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F49962740\u002Fmultiple-linear-regression-python-statsmodel-shows-predictorvariablet-x-in-the)\"} -->\n\u003Cdiv class=\"wp-block-jetpack-markdown\">\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F49962740\u002Fmultiple-linear-regression-python-statsmodel-shows-predictorvariablet-x-in-the\">Multiple linear regression Python statsmodel shows predictorVariable[T.x] in the output\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fdiv>\n\u003C!-- \u002Fwp:jetpack\u002Fmarkdown -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>If you want to ask any questions or provide feedback on the lesson, you are welcome to leave a comment on the \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FGCz1Xr8vqeQ?t=126\">YouTube recording of this lesson\u003C\u002Fa>. If you’d like to watch a session live, follow the \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fc\u002Fcodecademy\u002Ffeatured\">Codecademy YouTube channel\u003C\u002Fa>. We'll be live again on Tuesday, June 8 at 11am EDT to discuss the matrix representation of the linear regression problem. You can join that session \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=78c5ohzcWYQ\">here\u003C\u002Fa>.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Finally, if you want even more linear regression content, you can sign up for the \u003Ca href=\"https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Flinear-regression-mssp?utm_source=stack_overflow&utm_medium=partners&utm_content=cclive_regression_1\">Linear Regression in Python interactive course\u003C\u002Fa> this series was based on. This course was developed by Sophie and has many more quizzes, projects, and helpful nuggets that we can’t fit into our streams!\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->","html","2021-06-06T16:48:11.000Z",{"current":193},"level-up-linear-regression-in-python-part-3",[195,203,208,213],{"_createdAt":196,"_id":197,"_rev":198,"_type":199,"_updatedAt":196,"slug":200,"title":202},"2023-05-23T16:43:21Z","wp-tagcat-code-for-a-living","9HpbCsT2tq0xwozQfkc4ih","blogTag",{"current":201},"code-for-a-living","Code for a Living",{"_createdAt":196,"_id":204,"_rev":198,"_type":199,"_updatedAt":196,"slug":205,"title":207},"wp-tagcat-level-up",{"current":206},"level-up","level up",{"_createdAt":196,"_id":209,"_rev":198,"_type":199,"_updatedAt":196,"slug":210,"title":212},"wp-tagcat-linear-regression",{"current":211},"linear-regression","linear regression",{"_createdAt":196,"_id":214,"_rev":198,"_type":199,"_updatedAt":196,"slug":215,"title":216},"wp-tagcat-python",{"current":216},"python","Level Up: Linear Regression in Python - Part 3",[219,225,231,237],{"_id":220,"publishedAt":221,"slug":222,"sponsored":12,"title":224},"28e560af-f0aa-4d46-bd90-f435ad604aa7","2026-06-26T14:00:27.102Z",{"_type":10,"current":223},"paging-charity-how-can-engineering-leaders-avoid-becoming-bond-villains","Paging Charity! How can engineering leaders avoid becoming Bond villains?",{"_id":226,"publishedAt":227,"slug":228,"sponsored":12,"title":230},"4b22c2a3-3779-4966-93eb-5230391dbdce","2026-06-23T14:08:58.595Z",{"_type":10,"current":229},"your-ai-shipped-a-backend-that-boots-that-is-the-whole-problem","Your AI shipped a backend that boots. That is the whole problem.",{"_id":232,"publishedAt":233,"slug":234,"sponsored":12,"title":236},"5cf362e1-fe7b-45af-b69c-914731c6a052","2026-06-23T14:00:00.000Z",{"_type":10,"current":235},"the-2026-developer-survey-is-now-open-for-human-developers-only","The 2026 Developer Survey is now open (for human developers only)!",{"_id":238,"publishedAt":239,"slug":240,"sponsored":12,"title":242},"30b995f7-7cb9-4dd8-bf71-d0685940a32b","2026-06-19T14:00:00.000Z",{"_type":10,"current":241},"dispatches-from-o-reilly-from-capabilities-to-responsibilities","Dispatches from O'Reilly: From capabilities to responsibilities",{"data":244,"sourceMap":-1},{"count":245,"lastTimestamp":12},0]