Question: Mr. John wants to analyse the Consumer preference towards packed food items of the 'Haldirams' brand to other brands available. Customer survey was conducted

Mr. John wants to analyse the Consumer preference towards packed food items of the 'Haldirams' brand to other

Mr. John wants to analyse the Consumer preference towards packed food items of the 'Haldirams' brand to other brands available. Customer survey was conducted and he found which factor has more association in choosing the packed products of Haldirams. Model 1 (Constant) X1 Taste X2- Coefficients Availability X3 - Nutritious X4 -Price X5 - Brand X6- Attractive package X7 - Flavour Collinearity Statistics Tolerance VIF 0.365 0.178 0.422 0.187 0.135 0.849 2.738 7.973 2.372 5.928 8.103 1.178 1.419 11.153 0.705 X8 -Offers 0.065 a. Dependent Variable: X11- Preference a) Interpret the Collinearity Statistics with the above data. b) Does multicollinearity affect his decision to be taken in business if he wants to forecast sales in the future? c) Why Multicollinearity appears in his analysis and how it can be reduced.

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a Interpret the Collinearity Statistics with the above data The collinearity statistics in the table are the tolerance and variance inflation factor VIF Tolerance It is a measure of how much a predict... View full answer

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