In: Math
| Source | df | SS | MS | F | Significance of F | 
| 
 Regression  | 
207 (Given) | ||||
| Residual | 16.59 (Given) | ||||
| Total | 
Suppose that a multiple regression model was developed with a sample of data of size 190 and 13 independent variables. One of the 13 independent variables is a qualtiative variable with 6 levels for which necessary dummy variables were defined.
a)
The following is a partially complete ANOVA table for the Multiple Regression analysis. Round Answer to 4 Decimal Places
Here, we have to complete the ANOVA table.
We are given
Total number of independent variables = 13
We know, number of dependent variable = 1
Out of 13 independent variables, 12 are quantitative and 1 is qualitative.
1 qualitative variable have 6 levels. So, we need to define 6 dummy variables for this qualitative variable.
After defining 6 dummy variables, total independent variables are 12+6 = 18 variables.
Now, we have 18 independent + 1 dependent = 19 variables.
Regression df = 19 – 1 = 18
We are given N = 190
So, total df = N – 1 = 190 – 1 = 189
Residual df = total df – regression df = 189 – 18 = 171
MS = SS/df
MS regression = 207/18 = 11.5
SS = df*MS
SS residual = 171*16.59 = 2836.89
F = MS regression / MS residual
F = 11.5/16.59
F = 0.693188668
P-value or significance of F = 0.81487726
(By using F-table or excel)
Required ANOVA table is given as below:
| 
 Source  | 
 df  | 
 SS  | 
 MS  | 
 F  | 
 Significance of F  | 
| 
 Regression  | 
 18  | 
 207  | 
 11.5  | 
 0.693188668  | 
 0.81487726  | 
| 
 Residual  | 
 171  | 
 2836.89  | 
 16.59  | 
||
| 
 Total  | 
 189  | 
 3043.89  |