I'm carrying out a research which tries to analyse factors affecting coffee consumption behavior, there are 7 independent variables on hand and 1 dependent variable which is coffee consumption behavior

The data is collected using survey form, handed to 267 respondents (coffee consumers), the 7 given variables as can be seen in the image bellow are placed in the survey form in 7 sections, each section having their own 3-4 statement with 1-5 degree of agreement levels.

It should be mentioned that there is relation among independent variables as well

With this information and what is intended to explore (analyzing which of the 7 factors has a positive effect on consumption behavior);

Which of the two types of hypothesizes do you think should be used, first or second?

If second, which conceptual model should be used (Model 1 or Model 2) ?

And most important, which statistical analysis should be used in order to find what is intended?

Note: I suggested the first type hypothesizes and model-1 conceptual framework to my adviser, and he said use regression analysis, but he suggested that the first type of hypothesizes and model will fail, therefore I prepared the second type hypothesizes and draw the Model-2 conceptual framework and he accepted it. But I myself am not sure and a bit confused, to which type of hypothesizes and model, best conveys what is intended (analyzing which of the 7 factors has a positive effect on consumption behavior)

Your help is much appreciated

Sincerely

Yama Karimi

Bellow are the; Hypothesizes with given conceptual models, and a part of survey forms