Suppose you want to estimate the following regression model using the ordinary-least-squares (OLS) criteria: Y₁ = bo + b₁X₁ + ei. Consider the table of data below, where y=Y-Y, x= X - X, and Y, X are the sample averages of Y and X, respectively. What are the OLS estimates of bo and b₁? Y 813 788 858 726 871 X 93 57 31 99 24 Ob0=897; b1--1.41 1.8 -23.2 46.8 -85.2 59.8 O b0= 1.41; b1 = -897 O b0 -2.11; b1 = 951.64 0b0-951 64-b1 -2.11 x xy 32.2 57.96 1036.84 -3.8 88.16 14.44 -29.8 -1394.64 888.04 38.2 -3254.64 1459.24 -36.8 -2200.64 1354.24 x²
Suppose you want to estimate the following regression model using the ordinary-least-squares (OLS) criteria: Y₁ = bo + b₁X₁ + ei. Consider the table of data below, where y=Y-Y, x= X - X, and Y, X are the sample averages of Y and X, respectively. What are the OLS estimates of bo and b₁? Y 813 788 858 726 871 X 93 57 31 99 24 Ob0=897; b1--1.41 1.8 -23.2 46.8 -85.2 59.8 O b0= 1.41; b1 = -897 O b0 -2.11; b1 = 951.64 0b0-951 64-b1 -2.11 x xy 32.2 57.96 1036.84 -3.8 88.16 14.44 -29.8 -1394.64 888.04 38.2 -3254.64 1459.24 -36.8 -2200.64 1354.24 x²
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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