A researcher wants to understand how an annual mortgage payment (in Ringgit) depends on income level and zonal location allowing for interaction. The data are shown below:                 SUMMARY LOW MEDIUM HIGH Total     KOTA KINABALU             Count 5 5 5 15     Sum 799 959 1020 2778     Average 159.8 191.8 204 185.2     Variance 1151.2 40.7 607.5 886.314286                   SANDAKAN             Count 5 5 5 15     Sum 1197 1333 1971 4501     Average 239.4 266.6 394.2 300.066667     Variance 5108.8 1918.8 8242.2 9241.92381                   TAWAU             Count 5 5 5 15     Sum 742 915 1068 2725     Average 148.4 183 213.6 181.666667     Variance 3394.8 10957.5 532.8 5012.95238                   LAHAD DATU             Count 5 5 5 15     Sum 670 651 806 2127     Average 134 130.2 161.2 141.8     Variance 1480 1181.7 1993.7 1534.31429                   KENINGAU             Count 5 5 5 15     Sum 98 205 237 540     Average 19.6 41 47.4 36     Variance 25.3 37.5 131.3 206.857143                   Total             Count 25 25 25       Sum 3506 4063 5102       Average 140.24 162.52 204.08       Variance 7042.27333 8172.92667 14964.4933                                   ANOVA             Source of Variation SS df MS F P-value F crit Zonal Location 540452.72 4 135113.18 55.0676207 2.0312E-19 2.5252151 Income 52493.1467 2 26246.5733 10.6972269 0.00010634 3.15041131 Interaction 36644.72 8 4580.59 1.86689554 0.08222561 2.09696831 Within 147215.2 60 2453.58667                     Total 776805.787 74         i. Determine the F-Statistics and P-Value for income, zonal location and interaction between income and zonal location.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
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A researcher wants to understand how an annual mortgage payment (in Ringgit) depends on income level and zonal location allowing for interaction. The data are shown below:

 

             
SUMMARY LOW MEDIUM HIGH Total    
KOTA KINABALU            
Count 5 5 5 15    
Sum 799 959 1020 2778    
Average 159.8 191.8 204 185.2    
Variance 1151.2 40.7 607.5 886.314286    
             
SANDAKAN            
Count 5 5 5 15    
Sum 1197 1333 1971 4501    
Average 239.4 266.6 394.2 300.066667    
Variance 5108.8 1918.8 8242.2 9241.92381    
             
TAWAU            
Count 5 5 5 15    
Sum 742 915 1068 2725    
Average 148.4 183 213.6 181.666667    
Variance 3394.8 10957.5 532.8 5012.95238    
             
LAHAD DATU            
Count 5 5 5 15    
Sum 670 651 806 2127    
Average 134 130.2 161.2 141.8    
Variance 1480 1181.7 1993.7 1534.31429    
             
KENINGAU            
Count 5 5 5 15    
Sum 98 205 237 540    
Average 19.6 41 47.4 36    
Variance 25.3 37.5 131.3 206.857143    
             
Total            
Count 25 25 25      
Sum 3506 4063 5102      
Average 140.24 162.52 204.08      
Variance 7042.27333 8172.92667 14964.4933      
             
             
ANOVA            
Source of Variation SS df MS F P-value F crit
Zonal Location 540452.72 4 135113.18 55.0676207 2.0312E-19 2.5252151
Income 52493.1467 2 26246.5733 10.6972269 0.00010634 3.15041131
Interaction 36644.72 8 4580.59 1.86689554 0.08222561 2.09696831
Within 147215.2 60 2453.58667      
             
Total 776805.787 74        
  • i. Determine the F-Statistics and P-Value for income, zonal location and interaction between income and zonal location.
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