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Package design influences taste. Can the package design of a food product, along with accompanying sounds, influence how the consumer will rate the taste of

Package design influences taste. Can the package design of a food product, along with accompanying sounds, influence how the consumer will rate the taste of the product? A team of experimental psychologists reported on a study that examined how rounded or angular package shapes and high- or low-pitched sounds can convey information about the taste (sweetness and sourness) of a product (Food Quality and Preference, June 2014). Study participants were presented with one of two types of packaging displayed on a computer screen monitor: rounded shape with a low-pitched sound or angular shape with a high-pitched sound. Half of the participants viewed the rounded packaging and half viewed the angular packaging. After viewing the product, each participant rated whether the packaging was more appropriate for either a sweet- or a sour-tasting food product. The data for a sample of 80 participants saved in the P ACKSHAPE file. (These data are simulated, based on the results reported in the article.) Fit a logistic regression model for the probability of selecting a sweet-tasting food product based on the type of packaging displayed. Interpret the results.

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Classification TableEl Predicted Taste Percentage Observed Sour Sweet Correct Step 1 Taste Sour 33 5 86.8 Sweet 7 35 83.3 Overall Percentage 85.0 a. The cut value is .500 Variables in the Equation B S.E. Wald df Sig. Exp(B) * Step la Design(1) 3.497 .634 30.432 1 <.001 constant .416 .212 a. variable entered on step design. block method="Enter" omnibus tests of model coefficients chi-square df sig. summary log cox snell r nagelkerke likelihood square .559 estimation terminated at iteration number because parameter estimates changed by less than .001. hosmer and lemeshow test .000 contingency table for taste="Sour" observed expected total beginning classification tablea predicted sour sweet overall percentage is included in the model. b. cut value .500 correct variables equation b s.e. wald .100 .224 .200 not score step0 design statistics .655 exp>

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