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 |