Explain why it does not make sense to find a least-squares regression line for the Bear Market
Question:
Explain why it does not make sense to find a least-squares regression line for the Bear Market data from Problem 34 in Section 4.1.
Data from in problem 34
A bear market in the stock market is defined as a condition in which the market declines by 20% or more over the course of at least two months. The following data represent the number of months and percentage change in the S&P 500 (a group of 500 stocks) for a sample of bear markets.
Transcribed Image Text:
Months 1.9 8.3 3.3 3.4 6.8 5.8 3.1 13.4 12.9 5.1 7.6 17.9 11.8 Percent Change -44.57 -44.29 -32.86 -42.54 -61.81 -40.60 -29.43 -31.81 -54.47 -24.44 -28.69 -34.42 -28.47 Months 12.1 14.9 6.5 8 18.1 21 20.7 3.4 18.2 9.3 13.6 2.1 Percent Change -20.57 -21.63 -27.97 -22.18 -36.06 -48.20 -27.11 -33.51 -36.77 -33.75 -51.93 -27.62
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