Consider the following data for a dependent variable y and two independent variables, x1 and x2.
x1 |
x2 |
y |
---|---|---|
30 | 12 | 94 |
47 | 10 | 108 |
25 | 17 | 112 |
51 | 16 | 178 |
40 | 5 | 94 |
51 | 19 | 175 |
74 | 7 | 170 |
36 | 12 | 117 |
59 | 13 | 142 |
76 | 16 | 211 |
The estimated regression equation for these data isŷ = −18.37 + 2.01x1 + 4.74x2.
Here, SST = 15,182.9, SSR = 14,052.2, sb1 = 0.2471, and sb2 = 0.9484.
(A) Test for a significant relationship among x1, x2, and y. Use α = 0.05.
Find the value of the test statistic. (Round your answer to two decimal places.)
(b) Is β1 significant? Use α = 0.05.
Find the value of the test statistic. (Round your answer to two decimal places.)
(c) Is β2 significant? Use α = 0.05.
Find the value of the test statistic. (Round your answer to two decimal places.)
a)
p=number of independent variables= | 2 | |||
MSR =SSR/p = | 7026.100 | |||
MSE=(SSE/(n-p-1))= | 161.529 |
F test statistic =MSR/MSE= | 43.50 | ||
p value = | 0.0001 | or p value <0.01 |
b)
t test statistic =coefficient/standard error = | 8.13 | ||||
p value = | 0.0001 | or p value <0.01 |
c)
t test statistic =coefficient/standard error = | 5.00 | ||||
p value = | 0.0016 | or p value <0.01 |
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