c) A sample of 20 observations was divided into two equal sets after arranging for the independent variable, without omitting any central observations at all. The results for these two sets are given below. Test for the presence of heteroscedasticity using an

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c) A sample of 20 observations was divided into two equal sets after arranging for the
independent variable, without omitting any central observations at all. The results for
these two sets are given below. Test for the presence of heteroscedasticity using an
appropriate test. Show all the steps involved and assumptions made.
Regression results for set 1:
y^ = 1.0536+0.8760 x
Residual sum of squares: 3.8128
Regression results for set 2:
y^ = 4.7110+0.7882 x
Residual sum of squares: 25.7026
Critical value: 3.44
Transcribed Image Text:c) A sample of 20 observations was divided into two equal sets after arranging for the independent variable, without omitting any central observations at all. The results for these two sets are given below. Test for the presence of heteroscedasticity using an appropriate test. Show all the steps involved and assumptions made. Regression results for set 1: y^ = 1.0536+0.8760 x Residual sum of squares: 3.8128 Regression results for set 2: y^ = 4.7110+0.7882 x Residual sum of squares: 25.7026 Critical value: 3.44
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