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5. What is the standard error of the estimates (Serror) in thousands of dollars? 6. Based on what you can learn from this table, what is your assessment about the model? For your information, the firm...

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5. What is the standard error of the estimates (Serror) in thousands of dollars?
6. Based on what you can learn from this table, what is your assessment about the model?
For your information, the firm with the lowest travel expense was $47K and the firm with the
highest expense was $125K in the sample data.
Extracted text: 5. What is the standard error of the estimates (Serror) in thousands of dollars? 6. Based on what you can learn from this table, what is your assessment about the model? For your information, the firm with the lowest travel expense was $47K and the firm with the highest expense was $125K in the sample data. 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
 XXXXXXXXXX
0.
Residual
127
2836.6
Total
 XXXXXXXXXX
Figure 1: Partial Regression Output
4. What is the R and adjusted R2 of the model?
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 XXXXXXXXXX 0. Residual 127 2836.6 Total XXXXXXXXXX Figure 1: Partial Regression Output 4. What is the R and adjusted R2 of the model?
Answered 72 days After Jun 11, 2022

Solution

Bikash answered on Aug 22 2022
73 Votes
ANOVA
     
     
     
     
     
     
    df
    SS
    MS
    F
    Significance F
    Regression
    4
    13754.6
    3438.7
    154.0
    0
    Residual
    127
    2836.6
    22.3
    
    
    Total
    131
    16591.2
    126.7
     
     
MS Regression    = SS Regression/DF Regression
        = 13754/4
= 3438.7
                
MS Residual    = SS Residual/DF Residual
        = 2836.6/127
= 22.3
MS...
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