Results and Discussion

R. Srinivasan () and C. P. Lohith
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R. Srinivasan: Indian Institute of Science
C. P. Lohith: Siddaganga Institute of Technology

Chapter Chapter 10 in Strategic Marketing and Innovation for Indian MSMEs, 2017, pp 93-121 from Springer

Abstract: Abstract The regression models were estimated in the previous chapter. The regression variateRegression 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 equationPredictive equation based on four independent variablesIndependent variables and five dependent variablesDependent variables . The regression coefficientsRegression coefficient become indicators of the relative impact and importance of the independent variables (Strategic Marketing) in their relationship with the dependent variable (InnovationInnovation 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. Interpreting the regression variate and coefficient. 2. The predictive equation for models based on the confirmatory approach. 3. Overview of results and its validation. 4. Conclusion and important findings of this study. 5. Limitations of this study and directions for future research.

Keywords: Regression variate; Regression coefficient; Predictive equation; Confirmatory estimation approach; Standardized coefficient (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isbchp:978-981-10-3590-6_10

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DOI: 10.1007/978-981-10-3590-6_10

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