Suppose you have the following estimation results from the quarterly data of 195
ID: 3041838 • Letter: S
Question
Suppose you have the following estimation results from the quarterly data of 1958 1st quarter to 1976 4th quarter:
yt = 2.40 + 0.103xt
(3.4) (0.041)
where the standard errors are in parentheses, Residual Sum of Squares (ESS)=18.48, and Total Sum of Squares (TSS)=128.08. Assume that Classical Assumptions for SLRM(Simple Linear Regression Model) hold. Do the following questions. Let ? be the population coefficient on xt.
(a) Determine the sample size (note that you have the quarterly data of 1958 1st quarter to 1976 4th quarter).
(b) Calculate R2.
(e) TestH0 :?=0.1againstH1 :??=0.1.
(f) Compute a 99% confidence interval for ?.
Explanation / Answer
Part (a)
Sample size: Q1 of 1958 to Q4 of 1976 gives 19 years or 76 quarters. Since the figures used for the regression analysis are quarterly figures, sample size is: 76 ANSWER
Part (b)
Given TSS = 128.08 and RSS = 18.48, the Regression SS = 128.08 – 18.48 = 109.60.
R2 = Regression SS/TSS
= 109.6/128.08
= 0.8557 ANSWER
Part (c)
To test = 0 = 0
t = (b - 0)/SE(b) tn – 2
Estimate of 2 is given by s2 = (Syy – b2Sxx)/(n - 2).
Standard Error of b is sb, where sb2 = s2/Sxx
t = (0.103 - 0)/0.041
= 103/41
= 2.512.
Upper 2.5% of t74 = 1.992
Since 2.512 > 1.992, the hypothesis = 0 = 0 is rejected. ANSWER
part (d)
upper 0.5% point of t74 = 2.664 which is greater than 2.512 and so the hypothesis = 0 = 0 is accepted. ANSWER
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