Regression Case Study

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    MRP Biscuits – Regression Case

    Answers

    1. Multiple regression was run through SPSS and the results of it in the form of tables have been

    shown below named after their significance level. !".1 "."# "."1$

    Multiple Regression anal%sis

    At ".1 & significance level

    SPSS 'utput

    Regression ()uation of Preference

    Preference * ".+,- / ".-0+2utrition 3alue / ".1+"#4aste / ".#05-Preservation 6ualit%

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    At "."# & significance level

    SPSS 'utput

    Regression ()uation of Preference

    Preference * ".+,- / ".-0+2utrition 3alue / ".1+"#4aste / ".#05-Preservation 6ualit%

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    At "."1 & significance level

    SPSS 'utput

    Regression ()uation of Preference

    Preference * ".+,- / ".-0+2utrition 3alue / ".1+"#4aste / ".#05-Preservation 6ualit%

    -. Regression results are as follows7

    Regression Statistics

    Multiple R 0.9275

    R Square 0.8603

    Adjusted R Square 0.8486

    Standard Error 0.6992

    Oser!ations 40

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    ,. 4he Partial Regression Coefficients are

    Preference * ".+,- / ".-0+2utrition 3alue / ".1+"#4aste / ".#05-Preservation 6ualit%

    8nterpretation

    "ro# t$e ao!e re%ression equation &e 'an in(er t$at)

    • *it$ e!er+ ,- in'rease in nutrition !alue o( t$e is'uit t$ere &ill e 0.2947- '$an%e in t$e

     pre(eren'e o( t$e 'usto#er.

    • Also i( &e in'rease t$e taste o( t$e is'uit + ,- t$ere &ill e 0.,705- '$an%e in t$e pre(eren'e

    o( t$e 'usto#er &$ile u+in%.

    • Si#ilarl+ (or e!er+ ,- in'rease in preser!ation qualit+ t$ere &ill e a 0.5482- '$an%e in t$e

     pre(eren'e.

    0. Overall signifcance o the regression using Anova table,

    Interpretation

     The p-value i.e., f-signicant value obtained from the results is 0, which is lesserthan our alpha value (0

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    ! At "5% #onfdence interval, or $eta #oecients are shown in the tablebelow

    &! !s a mar"eting manager of #$% biscuit compan&, to improve the mar"etabilit& of the biscuit brand, ' would spend more mone& on preservation ualit& of the biscuits

    because the coecient of preservation ualit& (0.*++) is much higher than theother two attributes i.e. nutrition value (0.50) and taste (0.*/). 1ence there willbe a greater e2ect on the preference and bu&ing behavior of the consumer for thebiscuits with respect to the changes in preservation ualit&.