Suppose we create a multiple linear regression model that predicts the satisfaction score of customers at a large store. The independent variables are the number of employees working and the wait time in line (in minutes) The R command used to create this model in lm(score ~ employees + wait_time, data=BronlynsExamData). The coefficients table is given below. Variable Estimate of coefficient P-value (intercept) 5 0.00000001 employees 0.02 0.000036 wait_time 0.04 0.82 When we control for the number of employees working, _______ . Question 28 options: as the wait time increases, there is a statistically significant increase in predicted customer satisfaction score. there is not a statistically significant additional impact on the predicted customer satisfaction score from changes in wait time. as the wait time increases, there is a statistically significant decrease in predicted customer satisfaction score