Abstract
Abstract
In order to explore the impact of the live video host’s face value on the consumption of viewers watching the live video, the author formed a 28-person research team from 20:00 pm to 22:00 pm every evening to conduct a 336-hour follow-up survey. A total of 488 valid online questionnaires and 56 personal in-depth interview records were collected. The author classifies the big data obtained in the survey, and then establishes a multiple linear regression analysis model, using a stepwise regression analysis method. At the same time, the Eviews10.0 is used to objectively analyze and accurately verify the classified big data. The conclusion is that the beautification degree of the live video host’s face, eyes and ears is positively correlated with the live video sales revenue, while the live video host’s mouth shape is negatively correlated with the live video sales revenue.
Subject
General Physics and Astronomy
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