SkiptocontentPlatform#OverviewTourtheAIPlatformWhat’sNewGettingStartedSeeDataRobotTryDataRobotCreateAIDataPreparationZeplNotebooksAutomatedMachineLearningAutomatedTimeSeriesOperationalizeAIMLOpsConsumeAIAIAppsProductHighlightsVisualAIFeatureDiscoveryComposableMLEureqaModelsTrustedAIModelGraderContinuousAIBiasandFairnessNo-CodeAIAppBuilderDeploymentOptionsManagedAICloudPrivateAICloudHybridAICloudOn-PremiseAIClusterSolutions#SolutionsByIndustry/UseBankingCasinosandGamingConsumerPackagedGoodsFinancialMarketsFintechHealthcareInsuranceManufacturing MarketingOilandGasPublicSectorRetailTelecommunicationsRoboticProcessAutomationSportsAllUseCasesByroleBusinessAnalystsDataScientistsExecutivesandAnalyticsLeadersITOperationsSoftwareEngineersSuccess#SuccessOverviewCustomersAIHeroesMoreIntelligentTomorrowKeystoAISuccessin2021TheDataRobotAIAdoptionPathProfessionalServicesResources#ResourceLibraryBlogWebinarsMoreIntelligentTomorrowAI+MLin20MinutesAIExperienceRecordingsEventsDataRobotCommunityDocumentationWikiPartners#PartnersOverviewTechnologyAlliancesValueAddedResellersSolutionPartnersConsultingFirmsPartnerPortalEducation#OverviewDataRobotUniversityAcademicSupportProgram10xAcademyCompany#OurCultureAIForGoodNewsroomOpenPositionsSupportPortalBlogEventsMoreIntelligentTomorrowPathfinderDocsCommunityCareersRequestaDemoFreeTrialBlogAI&MLExpertiseOrdinaryLeastSquaresinPythonOrdinaryLeastSquaresinPythonFebruary8,2014byPeterPrettenhofer· 8min readLinearregression,alsocalledOrdinaryLeast-Squares(OLS)Regression,isprobablythemostcommonlyusedtechniqueinStatisticalLearning.Itisalsotheoldest,datingbacktotheeighteenthcenturyandtheworkofCarlFriedrichGaussandAdrien-MarieLegendre.Itisalsooneoftheeasierandmoreintuitivetechniquestounderstand,anditprovidesagoodbasisforlearningmoreadvancedconceptsandtechniques.ThispostexplainshowtoperformlinearregressionusingthestatsmodelsPythonpackage.Wewilldiscussthesinglevariablecaseanddefermultipleregressiontoafuturepost.Thisispartofaseriesofblogpoststoshowhowtodoco