Interpreting coefficients

What is the correct interpretation of the coefficient on Service in the linear model which regresses Price on Service, Food, and Decor?

You will need to run the linear model before answering the question: lm(Price ~ Service + Food + Decor, data=restNYC) %>% tidy()

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For every one unit increase in Service, the predicted average Price is expected to increase by 0.135.

For every one unit increase in Service, the predicted average Price is expected to increase by 0.135, given fixed values of Food and Decor.

For every one unit increase in Service, the predicted average Price is expected to increase by 0.135, for any possible value of Food and Decor.

Given that Food and Decor are in the model, Service is not significant, and we cannot know whether it has effect on modeling Price.

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Interpreting coefficients

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