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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
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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