The human resources department of a large corporation is interested in understanding factors that predict job satisfaction. They have collected data on several variables from a sample of employees, including employee tenure (number of years with the company), supervisor support (rated on a scale of 1 = not at all supportive to 5 = very supportive), total compensation (in dollars), and whether the employee received training (yes = 1 or no = 0). Using this data, they have developed the following regression equation to predict job satisfaction: y-hat = 0.50 + 0.10x1 + 0.30x2+ 0.0001x3 + 0.20x4 where tenure is x1, supervisor support is x2, total compensation is x3, and training received is x4. If an employee has been with the company for 3 years, has rated their supervisor support a 4, has total compensation of $60,000, and received training, what would be their predicted job satisfaction? Group of answer choices 8.00 7.70 62.20 8.20