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It depends on what type of independent variables you are using and whether you are using a linear equation, using logs or values, etc. If, for instance you are saying demand for restaurants depends on 1. local income, 2. competing restaurants, and 3. tourism you might say D= A + B1 + B2 + B3 + E

where D is your demand. A is an intercept term, which would be the expected value if all other independents are zero. B is a coefficient assigned to each of the independent vairables, representing the change in demand if your indep. variable changes by one unit. (If the variable is expected to decrease demand as it increases, the coefficient will be expected to be negative). Finally, E is an error term, generally capturing other unknown variables or random effects.

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Q: How to make the regression equation as the market demand for Cyprus restaurants and cafes?
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