{"id":"https://openalex.org/W2027506843","doi":"https://doi.org/10.1080/00401706.1999.10485936","title":"Regression Analysis: Statistical Modeling of a Response Variable","display_name":"Regression Analysis: Statistical Modeling of a Response Variable","publication_year":1999,"publication_date":"1999-11-01","ids":{"openalex":"https://openalex.org/W2027506843","doi":"https://doi.org/10.1080/00401706.1999.10485936","mag":"2027506843"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.1999.10485936","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485936","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078398853","display_name":"Henry W. Altland","orcid":null},"institutions":[{"id":"https://openalex.org/I1338503839","display_name":"Corning (United States)","ror":"https://ror.org/02tfv4t78","country_code":"US","type":"company","lineage":["https://openalex.org/I1338503839"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Henry W. Altland","raw_affiliation_strings":["Corning, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corning, Inc","institution_ids":["https://openalex.org/I1338503839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078398853"],"corresponding_institution_ids":["https://openalex.org/I1338503839"],"apc_list":null,"apc_paid":null,"fwci":12.4505,"has_fulltext":false,"cited_by_count":398,"citation_normalized_percentile":{"value":0.99147049,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"367","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.2992999851703644,"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":0.2992999851703644,"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/multicollinearity","display_name":"Multicollinearity","score":0.8133252859115601},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.781582236289978},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.6764105558395386},{"id":"https://openalex.org/keywords/linear-predictor-function","display_name":"Linear predictor function","score":0.6736044883728027},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6496886610984802},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5912450551986694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.573089599609375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5659363269805908},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5596844553947449},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5510802268981934},{"id":"https://openalex.org/keywords/general-linear-model","display_name":"General linear model","score":0.5101588368415833},{"id":"https://openalex.org/keywords/simple-linear-regression","display_name":"Simple linear regression","score":0.4914594888687134},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.4508145749568939},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.26260003447532654}],"concepts":[{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.8133252859115601},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.781582236289978},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.6764105558395386},{"id":"https://openalex.org/C162948026","wikidata":"https://www.wikidata.org/wiki/Q6553486","display_name":"Linear predictor function","level":5,"score":0.6736044883728027},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6496886610984802},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5912450551986694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.573089599609375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5659363269805908},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5596844553947449},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5510802268981934},{"id":"https://openalex.org/C188321436","wikidata":"https://www.wikidata.org/wiki/Q1826488","display_name":"General linear model","level":3,"score":0.5101588368415833},{"id":"https://openalex.org/C149769383","wikidata":"https://www.wikidata.org/wiki/Q7520804","display_name":"Simple linear regression","level":3,"score":0.4914594888687134},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.4508145749568939},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.26260003447532654}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.1999.10485936","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485936","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4309298396","https://openalex.org/W4230983264","https://openalex.org/W4224231346","https://openalex.org/W600390644","https://openalex.org/W4226071118","https://openalex.org/W4233599973","https://openalex.org/W2918472618","https://openalex.org/W1495663884","https://openalex.org/W4226066678","https://openalex.org/W4225727896"],"abstract_inverted_index":{"1.":[0],"The":[1],"Analysis":[2],"of":[3,7],"Means:":[4],"A":[5,63],"Review":[6],"Basics":[8],"and":[9],"an":[10],"Introduction":[11,42,65],"to":[12,43,66],"Linear":[13,17,55],"Models":[14,45,56],"2.":[15],"Simple":[16],"Regression:Linear":[18],"Regression":[19,26],"with":[20,29,35],"One":[21],"Independent":[22],"Variable":[23],"3.":[24],"Multiple":[25],"4.":[27],"Problems":[28,34],"Observations":[30],"5.":[31],"Multicollinearity":[32],"6.":[33],"the":[36],"Model":[37],"7.":[38],"Curve":[39],"Fitting":[40],"8.":[41],"Nonlinear":[44],"9.":[46],"Indicator":[47],"Variables":[48,52],"10.":[49],"Categorical":[50],"Response":[51],"11.":[53],"Generalized":[54],"Appendix":[57,61,68],"A:":[58],"Statistical":[59],"Tables":[60],"B:":[62],"Brief":[64],"Matrices":[67],"C:":[69],"Estimation":[70],"Procedures":[71],"References":[72]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":29}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}