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Title |
Nonlinear Principal Component Logistic Regression: Impact of Morning Shows on Fashion Products Consumer |
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Author |
Dr Junaid Sageer Siddiqu, Dr Bushra Shamshad, Zara Omar |
| Citation |
Vol. 19 No. 3 pp. 134-137 |
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Abstract |
Logistic regression describe the relationship between binary response variable and explanatory variables. In this study, online survey is conducted to find the impact of morning shows on the viewers who purchase the fashion products and clothing brands because of celebrity endorsement. The sample of 1275 responses were collected to analyze the influence on viewers of morning shows who purchase the fashion products. The study using logistic regression model is apply to find the impact of morning shows on the consumer of fashion product. |
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Keywords |
Logistic regression, nonlinear principal components analysis, viewers impact survey data, scale construction. |
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