Using the normal error regression model (2.1) in an engineering safety experiment, a researcher found for the first 10 cases that R^2 was zero. Is it possible that for the complete set of 30 cases R^2 will not be zero? Could R^2 not be zero for the first 10 cases, yet equal to zero for all 30 cases? Explain. normal error regression model: Yi = BO + BIX¡ + Ei

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Using the normal error regression model (2.1) in an
engineering safety experiment, a researcher found for
the first 10 cases that R^2 was zero. Is it possible that
for the complete set of 30 cases R^2 will not be zero?
Could R^2 not be zero for the first 10 cases, yet equal to
zero for all 30 cases? Explain.
normal error regression model: Yi = B0 + B1XI + Ei
Transcribed Image Text:Using the normal error regression model (2.1) in an engineering safety experiment, a researcher found for the first 10 cases that R^2 was zero. Is it possible that for the complete set of 30 cases R^2 will not be zero? Could R^2 not be zero for the first 10 cases, yet equal to zero for all 30 cases? Explain. normal error regression model: Yi = B0 + B1XI + Ei
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