In: Statistics and Probability
In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed.
= 12 - 18x1 + 4x2 + 15x3
Also, the following standard errors and the sum of squares were obtained.
sb1 = 3 |
sb2 = 6 |
sb3 = 7 |
SST = 4900 |
SSE = 1296 |
If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model), the critical value of F at α = .05 is
2.76
3.10
3.07
4.87
In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed.
Respose = 12 - 18x1 + 4x2 + 15x3
Also, the following standard errors and the sum of squares were obtained.
sb1 = 3, sb2 = 6, sb3 = 7, SST = 4900 and SSE = 1296
Now we are interested in testing for the significance of the relationship among the variables (i.e. significance of the model).
[ Formula:-
For a regression model with k predictor variable and n observations,
i) Numerator DF of F-statistic = k
ii) Denominator DF of F-statistic = (n - k -1) ]
So for this problem form given data we get, predictor variable k = 3 and number of total observations n =25
Numerator DF of F-statistic = k = 3 [applying formula (i)]
Denominator DF of F-statistic = (n - k -1) = (25-3-1) = 21 [applying formula (ii)]
Now we want to find the critical Value of F-statistic with DF = (3, 21) at
[ Value are getting from F-table with corresponding and DF = (3, 21) ]
Answer:- Correct answer is " 3rd Option. (3.07) "