{"id":"https://openalex.org/W2183347309","doi":null,"title":"REGRESSION ANALYSIS II: Linear Models","display_name":"REGRESSION ANALYSIS II: Linear Models","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2183347309","mag":"2183347309"},"language":"en","primary_location":{"id":"mag:2183347309","doi":null,"is_oa":false,"landing_page_url":"https://www.icpsr.umich.edu/summerprog/biblio/2013/Regression%20II%20McDaniel.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tim McDaniel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I13811531","display_name":"Buena Vista University","ror":"https://ror.org/018224j82","country_code":"US","type":"education","lineage":["https://openalex.org/I13811531"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tim McDaniel","raw_affiliation_strings":["Buena Vista University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Buena Vista University","institution_ids":["https://openalex.org/I13811531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13811531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.6011000275611877,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.6011000275611877,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.37380000948905945,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":0.9940000176429749},{"id":"https://openalex.org/keywords/linear-models","display_name":"linear models","score":0.8500000238418579},{"id":"https://openalex.org/keywords/regression-theory","display_name":"regression theory","score":0.8870000243186951},{"id":"https://openalex.org/keywords/mathematical-statistics","display_name":"mathematical statistics","score":0.3700000047683716},{"id":"https://openalex.org/keywords/social-science-methodology","display_name":"social science methodology","score":0.5139999985694885}],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6044974327087402},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5879102945327759},{"id":"https://openalex.org/C90157343","wikidata":"https://www.wikidata.org/wiki/Q5188196","display_name":"Cross-sectional regression","level":4,"score":0.5850023031234741},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.5797427296638489},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5243033170700073},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5117104053497314},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4230250120162964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3847331404685974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3706577718257904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3151690363883972},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.20962688326835632}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2183347309","doi":null,"is_oa":false,"landing_page_url":"https://www.icpsr.umich.edu/summerprog/biblio/2013/Regression%20II%20McDaniel.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W422197003","https://openalex.org/W564412957","https://openalex.org/W615841159","https://openalex.org/W1607899705","https://openalex.org/W1840218356","https://openalex.org/W1967349799","https://openalex.org/W1969666539","https://openalex.org/W1986760411","https://openalex.org/W1997110940","https://openalex.org/W2004042461","https://openalex.org/W2005842391","https://openalex.org/W2016455879","https://openalex.org/W2029240969","https://openalex.org/W2030121826","https://openalex.org/W2034562813","https://openalex.org/W2049201705","https://openalex.org/W2049350168","https://openalex.org/W2056720463","https://openalex.org/W2063136301","https://openalex.org/W2064036031","https://openalex.org/W2066777211","https://openalex.org/W2076634691","https://openalex.org/W2099304543","https://openalex.org/W2103958867","https://openalex.org/W2105586900","https://openalex.org/W2145724308","https://openalex.org/W2146807455","https://openalex.org/W2154363475","https://openalex.org/W2161826494","https://openalex.org/W2164062141","https://openalex.org/W2169495003","https://openalex.org/W2325104685","https://openalex.org/W2331938172","https://openalex.org/W2505476967","https://openalex.org/W2993827275","https://openalex.org/W3124609882"],"related_works":["https://openalex.org/W2285404140","https://openalex.org/W4238929460","https://openalex.org/W639851232","https://openalex.org/W6940179940","https://openalex.org/W1999162648","https://openalex.org/W12917615","https://openalex.org/W3123712524","https://openalex.org/W4245442041","https://openalex.org/W2388272658","https://openalex.org/W2390481247"],"abstract_inverted_index":{"As":[0],"social":[1],"scientists,":[2],"it":[3,15],"is":[4,16],"important":[5,18],"that":[6],"we":[7,36],"know":[8,22],"how":[9,25],"to":[10,21],"use":[11],"multiple":[12,26,47],"regression.":[13],"But":[14],"also":[17,50],"for":[19],"us":[20],"why":[23],"and":[24,43,49,54],"regression":[27,48],"works":[28],"(and":[29],"fails)":[30],"under":[31],"varying":[32],"conditions.":[33],"Given":[34],"this,":[35],"will":[37,61,67],"discuss":[38],"much":[39],"of":[40],"the":[41,59],"mathematical":[42],"statistical":[44],"theory":[45],"behind":[46],"some":[51],"potential":[52],"drawbacks":[53],"circumstantial":[55],"limitations.":[56],"So":[57],"while":[58],"presentations":[60],"not":[62],"be":[63,70],"purely":[64],"theoretical,":[65],"neither":[66],"this":[68],"course":[69],"\u201ccookbook\u201d":[71],"in":[72],"nature.":[73]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
