(Hypothetical) A researcher obtained following regression results using time series data from 1983 to 2019 Q1: InDc = 4.3 – 0.78lnPc + 0.18lnY + 0.34lnPM (0.06) (0.3) C SE (0.9) (0.21) = R2 = 0.95 RSS...


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(Hypothetical) A researcher obtained following regression results using time series data<br>from 1983 to 2019<br>Q1:<br>InDc = 4.3 – 0.78lnPc + 0.18lnY + 0.34lnPM<br>(0.06) (0.3)<br>C<br>SE<br>(0.9) (0.21)<br>=<br>R2 = 0.95<br>RSS = 50<br>where Dc = Demand for chicken, Pc = Price of chicken, Y = real disposable income and<br>PM-Price of mutton<br>i.<br>Interpret above results.<br>Test significance of each coefficient individually using 5% level of significance<br>Retrieve R? from R?<br>ii.<br>111.<br>

Extracted text: (Hypothetical) A researcher obtained following regression results using time series data from 1983 to 2019 Q1: InDc = 4.3 – 0.78lnPc + 0.18lnY + 0.34lnPM (0.06) (0.3) C SE (0.9) (0.21) = R2 = 0.95 RSS = 50 where Dc = Demand for chicken, Pc = Price of chicken, Y = real disposable income and PM-Price of mutton i. Interpret above results. Test significance of each coefficient individually using 5% level of significance Retrieve R? from R? ii. 111.

Jun 11, 2022
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