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Accounting

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Day Tumor Size
1 929.98
5 1096.53
9 1575.88
13 1898.86
17 1910.15
21 1835.23
25 1946.98
29 1630.57
33 1990.56
37 1869.14
41 1897.93
45 2171.50
49 1844.33
53 2243.03
57 2136.84
61 2117.31
65 1718.64
69 1831.17
73 1631.77
77 1496.71
81 1591.94
85 1562.02
89 1750.29
93 1579.29
97 1587.08
101 1226.70

An experiment was designed to investigate how the size of a tumor is affected by a new treatment. The size of the tumor (in mm3) was measured every 4 days since the start of the treatment; measurements and days on which they were obtained are given in the table below. There were total of n = 26 observations Using R, fit the following model Y; = a0 +019+222 +agz? +e; where I; is the day, and y; is the tumor size, i =1,2,..., 26. Comment on the output from summary for this model; you should comment both on the significance and value of the estimated parameters, F-statistic and R2 and adjusted R2 Perform residual analysis for this model. An experiment was designed to investigate how the size of a tumor is affected by a new treatment. The size of the tumor (in mm3) was measured every 4 days since the start of the treatment; measurements and days on which they were obtained are given in the table below. There were total of n = 26 observations Using R, fit the following model Y; = a0 +019+222 +agz? +e; where I; is the day, and y; is the tumor size, i =1,2,..., 26. Comment on the output from summary for this model; you should comment both on the significance and value of the estimated parameters, F-statistic and R2 and adjusted R2 Perform residual analysis for this model

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