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Discussion - of hypothesis testing results (dissertation) - Essay Example

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Applicable in the same sense as the ordinary regression, logistic regression is applied to model a relationship or association of a dependent variable with one or more independent variables providing a foundation to find the model’s fit (Kocherlakota, 2010). In this case, the…
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Discussion - of hypothesis testing results (dissertation)
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Download file to see previous pages In this model, logistics regression was applied to test the probabilities that young people consider price, effect of brand image, design, trendiness of fast fashion cloths, and effect of advertising on their decision to make a purchase. Categorical variables were considered to show how various variables affect the predictability of the decision to purchase of not within the population. Based on gender, age, and education the logistic regression provides a platform of identifying fit within the model.
The application of the Chi Square in this analysis is to identify the relationship or association of two cross-tabulated variables within a population (Kocherlakota, 2010). The null hypothesis in this case is considered to show that an association exists between the cross-tabulated variables of the population. The alternative hypothesis using the chi square analysis is used to refute the null and reinstate the hypothesis (Kocherlakota, 2010). In this case, the chi square method is applied to test the association between young people’s decisions of making a purchase with price, effect of brand image, effect of advertising, design, and/or trendiness of fast fashion cloths as influencing factors.
The log likelihood statistics method was used in this analysis to show the fit between coefficient estimates and data (Kocherlakota, 2010). Since data is fixed, coefficients influence the likelihood that certain outcomes will take place. In the current case, the method was applied to show how different parameters influence the likelihood of young individuals to purchasing fast fashion or not. The parameters include price, design, brand image, trendiness, and advert effects on the decisions made.
H1: As it mention in the literature by Jackson (2001), price is a major determinant of the decision to buy fast fashion. In addition, a conflicting factor is also identified. The cost of fast fashion cloths does not matter to young buyers ...Download file to see next pagesRead More
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