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12. (2 points) We believe the likelihood that someone would eat in if a fast food restaurant had sofas/chairs and a wireless connection is driven by the importance of the atmosphere, the importance of food quality, and the times visited in 7 days. There, we run a multiple regression as shown below. Which of the independent variables is the most important driver, and how do you know this? Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 200 040 037 999 a. Predictors: (Constant), q05e Importance - Food quality, q02 Times visited last 7 days, q05g Importance General atmosphere of restaurant ANOVA Sum of Model Squares df Mean Square F Sig. Regression 33.984 3 11.328 11.343 .000 Residual 811.933 813 999 Total 845.917 816 a. Dependent Variable: q07 Likelihood to eat in if sofa/chairs and wireless connection b. Predictors: (Constant), q05e Importance - Food quality, q02 Times visited last 7 days, q05g Importance - General atmosphere of restaurant Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 2.216 251 8.847 000 q02 Times visited last 7 043 .023 065 1.882 060 days q05g Importance - 121 036 125 3.402 001 General atmosphere of restaurant q05e Importance - Food .158 .057 103 2.799 005 quality a. Dependent Variable: q07 Likelihood to eat in if sofa/chairs and wireless connection