1 / 2

Introduction to Regression Analysis_

ExcelR's Data Analyst Course offers a comprehensive learning path to master the skills required for effective data analysis.<br><br>Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai<br>Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, opposite Manas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602<br>Phone: 09108238354, <br>Email: enquiry@excelr.com<br>

Saketh4
Download Presentation

Introduction to Regression Analysis_

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IntroductiontoRegressionAnalysis: UnderstandingRegressionAnalysis: -Startbyexplainingtheconceptofregressionanalysisasastatisticaltechniqueusedto modeltherelationshipbetweenadependentvariable(target)andoneormoreindependent variables(features).DataAnalystCourse.Introducestudentstolinearregression,thesimplest formofregressionanalysis,whichmodelstherelationshipbetweenvariablesasastraightline. SimpleandMultipleRegression: -Differentiatebetweensimplelinearregression,whichinvolvesoneindependentvariable,and multiplelinearregression,whichinvolvesmultipleindependentvariables.Teachstudentshowto formulateregressionmodels,estimatemodelparameters,andinterpretregressioncoefficients. Provideexamplesofreal-worldregressionanalysisscenariosandapplications. Assumptions andDiagnostics: -Covertheassumptionsunderlyingregressionanalysis,suchaslinearity,independence, homoscedasticity,andnormalityofresiduals.Teachstudentshowtodiagnoseviolationsof theseassumptionsandaddressthemusingtechniquessuchasresidualanalysis,QQplots,and testsformulticollinearity.Emphasizetheimportanceofvalidatingregressionmodelsand assessing their goodness offit. ModelEvaluationandInterpretation: -Discusstechniquesforevaluatingtheperformanceandinterpretingtheresultsofregression models.TeachstudentshowtoassessmodelfitusingmetricssuchasR-squared,adjusted R-squared,androotmeansquarederror(RMSE).Encouragethemtointerpretregression coefficientsto understand themagnitude and directionofthe relationshipsbetween variables. PracticalApplicationsandLimitations: -Illustratepracticalapplicationsofregressionanalysisacrossvariousdomainssuchas economics,finance,marketing,andsocialsciences.DataAnalyticsCourseinMumbai. Provideexamplesofhowregressionanalysisisusedfortaskssuchaspredictingsales revenue,estimatingpriceelasticity,andanalyzingtheimpactofmarketingcampaigns.Discuss limitationsandcaveatsofregressionanalysis,suchastheneedforcausalinferenceandthe potentialforoverfitting.

  2. Businessname:ExcelR-DataScience,DataAnalytics,BusinessAnalyticsCourseTraining Mumbai Address:304,3rdFloor,PratibhaBuilding.ThreePetrolpump,LalBahadurShastriRd, oppositeManasTower, Pakhdi,ThaneWest,Thane,Maharashtra400602 Phone:09108238354, Email:enquiry@excelr.com

More Related