When using correlation for prediction,   A. Negative correlations are not udeful   B. Causation may not be important if the predictions are reliably accurate   C. Correlation coefficients close to zero are ideal   D. There is no need to construct a prediction interval   E. All of the above   F. None of the above

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A: We haver= ∑i=1n(xi-x¯)(yi-y¯)∑i=1n(xi-x¯)2∑i=1n(yi-y¯)2n = 10 x¯ = -4-3-2-1+1+2+3+4+5+610=1.1y¯ =…

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