The least-squares regression line is: the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. the line such that half of the data points fall above the line and half fall below the line. All of the answer options are correct. the line that passes through the most data points.

you are analyzing the variables that explain the returns on the stock of the Boeing Com- pany. Because overall market returns are likely to explain a part of the returns on Boeing, you decide to include the returns on a value-weighted index of all the companies listed on the nySe, aMeX, and naSdaQ as an independent variable. Further, because Boeing is a large company, you also decide to include the returns on the S&P 500 index, which is a value-weighted index of the larger market-capitalization companies. Finally, you decide to include the changes in the uS dollar’s value. to conduct your test, you have collected the following data for the period 1990–2002. Rt = monthly return on the stock of Boeing in month t RALLt = monthly return on a value-weighted index of all the companies listed on the nySe, aMeX, and naSdaQ in month t RSPt = monthly return on the S&P 500 index in month t ΔXt = change in month t in the log of a trade-weighted index of the foreign exchange value of the uS…

Can you please help

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