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  • chapterNo Access

    Simple Linear Regression and Correlation: Analyses and Applications

      The following sections are included:

      • INTRODUCTION
      • TESTS OF THE SIGNIFICANCE OF α AND β
        • Hypothesis Testing and Confidence Interval for β and α
        • Two-Tailed z Test Versus Two-Tailed t Test for β
        • Two-Tailed t Test for α
        • One-Tailed t Test for β
        • Confidence interval for β
        • The F Test Versus the t Test
        • Procedure for Using the F Test
        • The Relationship Between the F Test and the t Test
      • TEST OF THE SIGNIFICANCE OF ρ
        • t Test for Testing ρ = 0
        • z Test for Testing ρ = 0 or ρ = Constant
      • CONFIDENCE INTERVAL FOR THE MEAN RESPONSE AND PREDICTION INTERVAL FOR THE INDIVIDUAL RESPONSE
        • Point Estimates of the Mean Response and the Individual Response
        • Interval Estimates of forecasts
        • Calculating Standard Errors
        • Confidence Interval for the Mean Response and Prediction Interval for the Individual Response
        • Using MINITAB to Calculate Confidence Interval and Prediction Interval
      • BUSINESS APPLICATIONS
        • The Relationship Between Layoff Rate and the Unemployment Compensation Subsidy Rate
        • Market Model Estimation and Analysis
        • Relationship Between Audited and Book Inventory Value
        • Hamburger Sales: Predicting Profits5
        • The Impact of Cable TV Penetration on Network Share TV Revenues
      • USING COMPUTER PROGRAMS TO DO SIMPLE REGRESSION ANALYSIS
      • Summary
      • Apiendix 14A Impact of Measurement Error and Proxy Error on Slope Estimates
      • Appendix 14B The Relationship Between the F Test and the t Test
      • Appendix 14C Derivation of Variance for Alternative Forecasts
      • Questions and Problems

    • chapterNo Access

      Multiple Linear Regression

        The following sections are included:

        • INTRODUCTION
        • THE MODEL AND ITS ASSUMPTIONS
          • The Multiple Regression Model
          • The Regression Plane for Two Explanatory Variables
          • Assumptions for the Multiple Regression Model
        • ESTIMATING MULTIPLE REGRESSION PARAMETERS
          • Annual Salary, Years of Education, and Years of Work Experience
        • THE RESIDUAL STANDARD ERROR AND THE COEFFICIENT OF DETERMINATION
          • The Residual Standard Error
          • The Coefficient of Determination
        • TESTS ON SETS AND INDIVIDUAL REGRESSION COEFFICIENTS
          • Test on Sets of Regression Coefficients
          • Hypothesis Tests for Individual Regression Coefficients
        • CONFIDENCE INTERVAL FOR THE MEAN RESPONSE AND PREDICTION INTERVAL FOR THE INDIVIDUAL RESPONSE
          • Point Estimates of the Mean and the Individual Responses
          • Interval Estimates of Forecasts
        • BUSINESS AND ECONOMIC APPLICATIONS
          • Overall Job-Worth of Performance for Certain Army Jobs
          • The Relationship Between Individual Stock Rates of Return, Payout Ratio, and Market Rates of Return
          • Analyzing the Determination of Price per Share
          • Multiple Regression Approach to Evaluating Real Estate Property
          • Multiple Regression Approach to Doing Cost Analysis
        • USING COMPUTER PROGRAMS TO DO MULTIPLE REGRESSION ANALYSES
          • SAS Program for Multiple Regression Analysis
          • MINITAB Program for Multiple Regression Prediction
          • Stepwise Regression Analysis
        • Summary
        • Appendix 15A Derivation of the Sampling Variance of the Least-Squares Slope Estimations
        • Appendix 15B Derivation of Equation 15.30
        • Questions and Problems