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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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