In a regression analysis involving 30 observations the follo
In a regression analysis involving 30 observations, the following estimated regression equation was obtained.
y ˆ = 17.6 + 3.8x1 - 2.3x2 + 7.6x3 + 2.7x4
Suppose x1 and x4 are dropped from the model and the following estimated regression equation is obtained.
y ˆ = 11.1 - 3.6x2 + 8.1x3
For this model SST = 1805 and SSR = 1705.
Compute SSE for this model.
Use an F test and = .05 to determine whether x1 and x4 contribute significantly to the model.
What is the value of the F test statistic (to 2 decimals)?
What is the p-value?
Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 9
What is your conclusion about the two variables x1 and x4?
SelectConclude that these variables contribute significantly to the modelCannot conclude that these variables contribute significantly to the modelItem 10
| In a regression analysis involving 30 observations, the following estimated regression equation was obtained. y ˆ = 17.6 + 3.8x1 - 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation SST = 1805 and SSR = 1,780.Compute the following (to 1 decimal, if necessary).
What is the value of the F test statistic (to 2 decimals)? What is the p-value? Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 5 Using = .05, what is your conclusion? SelectConclude the relationship is significantCannot conclude the relationship is significantItem 6 Suppose x1 and x4 are dropped from the model and the following estimated regression equation is obtained. Use an F test and = .05 to determine whether x1 and x4 contribute significantly to the model. |
Solution
a. SSE = SST - SSR = 1,805 - 1,780 = 25
MSR = SSR/(k) = 1,780/4 = 445
MSE = SSE/(n-k-1) = 25/25 = 1
F = MSR/MSE = 445/1 = 445
Associated p-value = 0.000
At 5% los, critical value = 2.759 < F, hence Conclude that the relationship is significant.
Now,
SSE = SST - SSR = 1805-1705 = 100
F= (1705/2)/(100/27) = 230.175
Associated p-value = 0.000
At 5% los, critical value = 3.354 < F, hence Conclude that these variables contribute significantly to the model.

