Note: For this Question, it may be necessary to use R to avoid LONG calculations and achieve the required precisions in both answers.
1. For the following pairs of (x,y) observations,
(−2,−3),(3,3),(6,6),(7,6),(10,9)
we are interesting in fitting the population regression model μy=α+β1x. Carry out the hypothesis test
H0 β1=0
H1 β1≠0
Determine the value of the test statistic and the associated p-value.
Test Statistic =
p-Value =
2. For the data set we have the following (x,y) pairs of observations:
(−2,−1),(1,0),(6,6),(7,8),(10,12)
Please carry out the hypothesis test:
H0 β1=1
H1 β1≠1
Determine the value of the test statistic and the associated p-value.
Test Statistic =
p-Value =
1)
SSE =Syy-(Sxy)2/Sxx= | 1.196 |
s2 =SSE/(n-2)= | 0.3986 | |
std error σ = | =se =√s2= | 0.6313 |
estimated std error of slope =se(β1) =s/√Sxx= | 0.069 | ||
test stat t = | (bo-β1)/se(β1)= | = | 14.3092 |
p value: | = | 0.0007 |
2)
test stat t = | (bo-β1)/se(β1)= | = | 0.9751 |
p value: | = | 0.4014 |
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