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JMP® Means Business: Statistical Models for Management by Jane Oppenlander, Josef Schmee

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Chapter 14. Simple Regression Analysis

  • 14.1 Introduction 370

    • 14.1.1 General Simple Regression Problem and Use 372

    • 14.1.2 Data Requirements 372

    • 14.1.3 Basic Results 373

  • 14.2 Detail Example: Yield in a Chemical Reactor 374

    • 14.2.1 Situation, Research Question, Data Requirements, Anticipated Results 374

    • 14.2.2 Outputs Related to Problem Statement 376

  • 14.3 JMP Analysis of the Yield in a Chemical Reactor Example 377

    • 14.3.1 Simple Regression Results with the Fit Y by X Platform 377

    • 14.3.2 Fit Y by X Results 378

    • 14.3.3 Summary of Relevant Output 380

  • 14.4 Interpretation of Basic Regression Outputs 381

    • 14.4.1 Estimates of Simple Regression Equation 384

    • 14.4.2 t-Ratios to Test Significance of b0 and bi 385

    • 14.4.3 Root Mean Square Error (RMSE) 386

    • 14.4.4 Additional Simple ...

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