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17 A researcher studies the relationship between a test-taker SAT score, fly income Door het (GPA. Consider the following data collected on 24 students. The data can oso be found on the SAT 2.92 nes 1651 47000 2.29 1581 3408 2397 2790 90000 20.00 3.4 1626 60000 2.5 1750 119000 1750 710 3.76 1706 105000 2.9 1765 59000 3.26 1786 50000 3.89 1686 27000 3.67 1790 107000 3.31 1707 109000 3.16 1804 81000 3.73 1712 62000 3.21 1607 72000 2.8 1738 63000 3.7 1790 55000 3.86 1796 64000 3.91 1547 47000 2.63 1692 89000 2.98 1711 42000 3.45 1689 70000 3.06 1740 118000 2.88 1940 113000 3.96

17 Estimate three models in-.2 and 3 below. Have the regression output of each model to www.dorkowe output) -- SAT - Bancome + (Round your answers to 4 to 4 decimal places) 4 Don SAT S 2-2 SAT - Bo + B/GPA+ (Round your answers to 4 decimal places) Model 2: SAT GPA 2-3. SAT - Bo + Bancome + B2GPA - E. (Round your answers to 4 decimal places.) Next

17 3. SAT - Po Pincome. PGPA. Mound your anwwers to decimal places point 22:00 b. Use goodness-of-fit measures to select the best-fitting model O Model 1 because it has the lowest Rsquare. O Model 2 because the p-value of income is the highest of all O Model 2 because Income is irrelevant to SAT score. O Model 3 because the adjusted R square is the highest O Model 3 because the square is the highest Next > ме 17 of 25 M < Prev