A Ross MAP team is currently developing a regression model to explain the travel expense of HR consulting firms in a month (measured in thousands of dollars). So far, the team has identified the...

Extracted text: A Ross MAP team is currently developing a regression model to explain the travel expense of HR consulting firms in a month (measured in thousands of dollars). So far, the team has identified the number of consultants, the number of clients, the number of air-travel trips, and the number of trips to high-expense cities (e.g., NYC, Boston, San Jose) as potential independent variables. A partial output of the corresponding regression model is in Figure 1. Use the figure to answer question 4to6 ANOVA df SS MS F Significance F Regression 4 13754.6 0. Residual 127 2836.6 Total 131 16591.3 Figure 1: Partial Regression Output 4. What is the R and adjusted R2 of the model?