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thank you! y,x1,x2,x3,x4,x5,x6,x7,x8,x910,2113,1985,38.9,64.7,4,868,59.7,2205,191711,2003,2855,38.8,61.3,3,615,55,2096,157511,2957,1737,40.1,60,14,914,65.6,1847,217513,2285,2905,41.6,45.3,-4,957,61.4,1903,247610,2971,1666,39.2,53.8,15,836,66.1,1457,186611,2309,2927,39.7,74.1,8,786,61,1848,233910,2528,2341,38.1,65.4,12,754,66.1,1564,209211,2147,2737,37,78.3,-1,761,58,1821,19094,1689,1414,42.1,47.6,-3,714,57,2577,20012,2566,1838,42.3,54.2,-1,797,58.9,2476,22547,2363,1480,37.3,48,19,984,67.5,1984,221710,2109,2191,39.5,51.9,6,700,57.2,1917,17589,2295,2229,37.4,53.6,-5,1037,58.8,1761,20329,1932,2204,35.1,71.4,3,986,58.6,1709,20256,2213,2140,38.8,58.3,6,819,59.2,1901,16865,1722,1730,36.6,52.6,-19,791,54.4,2288,18355,1498,2072,35.3,59.3,-5,776,49.6,2072,19145,1873,2929,41.1,55.3,10,789,54.3,2861,24966,2118,2268,38.2,69.6,6,582,58.7,2411,26704,1775,1983,39.3,78.3,7,901,51.7,2289,22023,1904,1792,39.7,38.1,-9,734,61.9,2203,19883,1929,1606,39.7,68.8,-21,627,52.7,2592,23244,2080,1492,35.5,68.8,-8,722,57.8,2053,255010,2301,2835,35.3,74.1,2,683,59.7,1979,21106,2040,2416,38.7,50,0,576,54.9,2048,26288,2447,1638,39.9,57.1,-8,848,65.3,1786,17762,1416,2649,37.4,56.3,-22,684,43.8,2876,25240,1503,1503,39.3,47,-9,875,53.5,2560,2241 The data in Table B.1 in the appendix gives the number of games won versus several variables for each of the 28

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"y","x1","x2","x3","x4","x5","x6","x7","x8","x9"10,2113,1985,38.9,64.7,4,868,59.7,2205,191711,2003,2855,38.8,61.3,3,615,55,2096,157511,2957,1737,40.1,60,14,914,65.6,1847,217513,2285,2905,41.6,45.3,-4,957,61.4,1903,247610,2971,1666,39.2,53.8,15,836,66.1,1457,186611,2309,2927,39.7,74.1,8,786,61,1848,233910,2528,2341,38.1,65.4,12,754,66.1,1564,209211,2147,2737,37,78.3,-1,761,58,1821,19094,1689,1414,42.1,47.6,-3,714,57,2577,20012,2566,1838,42.3,54.2,-1,797,58.9,2476,22547,2363,1480,37.3,48,19,984,67.5,1984,221710,2109,2191,39.5,51.9,6,700,57.2,1917,17589,2295,2229,37.4,53.6,-5,1037,58.8,1761,20329,1932,2204,35.1,71.4,3,986,58.6,1709,20256,2213,2140,38.8,58.3,6,819,59.2,1901,16865,1722,1730,36.6,52.6,-19,791,54.4,2288,18355,1498,2072,35.3,59.3,-5,776,49.6,2072,19145,1873,2929,41.1,55.3,10,789,54.3,2861,24966,2118,2268,38.2,69.6,6,582,58.7,2411,26704,1775,1983,39.3,78.3,7,901,51.7,2289,22023,1904,1792,39.7,38.1,-9,734,61.9,2203,19883,1929,1606,39.7,68.8,-21,627,52.7,2592,23244,2080,1492,35.5,68.8,-8,722,57.8,2053,255010,2301,2835,35.3,74.1,2,683,59.7,1979,21106,2040,2416,38.7,50,0,576,54.9,2048,26288,2447,1638,39.9,57.1,-8,848,65.3,1786,17762,1416,2649,37.4,56.3,-22,684,43.8,2876,25240,1503,1503,39.3,47,-9,875,53.5,2560,2241

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The data in Table B.1 in the appendix gives the number of games won versus several variables for each of the 28 teams in the NFL. We'll consider a regression of number of wins, y, on just the punting average (yards/punt), x3. I recommend using the computer for this problem. (Data are available on Blackboard.) 'v.'.'\\k . |" ."' a) (3) Construct a scatterplot of the data. Does there appear to be linear relationship between number of wins and punting average? b) (2) Determine the least squares regression line for this data. c) (3) Test whether there is a linear relationship between wins and punting average: H o 2 [31:0 vs H A I [31$ 0 . Note: you may use either the AN OVA global Ftest or the ttest for the slope. Record the value of the test statistic you are using, the critical value or p-Value, and your conclusion.

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