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Results and Discussion

  • R. SrinivasanEmail author
  • C. P. Lohith
Chapter
  • 370 Downloads
Part of the India Studies in Business and Economics book series (ISBE)

Abstract

The regression models were estimated in the previous chapter. The regression variate was specified and the diagnostic tests that confirm the appropriateness and the assumptions underlying the regression models were administered. In this chapter, we examine the predictive equation based on four independent variables and five dependent variables. The regression coefficients become indicators of the relative impact and importance of the independent variables (Strategic Marketing) in their relationship with the dependent variable (Innovation performance). The final task in multiple regression is the validation process of the regression model. The primary concern of this process is to ensure that the results are generalisable to the population and not specific to the sample used in estimation. Here in our research the split sample validation process is adopted for the models validation and followed by the final conclusion regarding the study made with respect to both Karnataka and Tamil Nadu.

The key takeaways for the reader from this chapter are listed below
  1. 1.

    Interpreting the regression variate and coefficient.

     
  2. 2.

    The predictive equation for models based on the confirmatory approach.

     
  3. 3.

    Overview of results and its validation.

     
  4. 4.

    Conclusion and important findings of this study.

     
  5. 5.

    Limitations of this study and directions for future research.

     

Keywords

Regression variate Regression coefficient Predictive equation Confirmatory estimation approach Standardized coefficient 

Reference

  1. Hair JF Jr, Black WC, Babin BJ, Anderson RE, Tatham RL (2007) Multivariate data analysis, 6th edn. Pearson Prentice Hall (Chaps. 1, 2 & 4)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Management StudiesIndian Institute of ScienceBengaluruIndia
  2. 2.Department of Mechanical EngineeringSiddaganga Institute of TechnologyTumakuruIndia

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