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+NIST/ITL StRD
+Dataset Name: Rat42 (Rat42.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 43)
+ Certified Values (lines 41 to 48)
+ Data (lines 61 to 69)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: This model and data are an example of fitting
+ sigmoidal growth curves taken from Ratkowsky (1983).
+ The response variable is pasture yield, and the
+ predictor variable is growing time.
+
+
+Reference: Ratkowsky, D.A. (1983).
+ Nonlinear Regression Modeling.
+ New York, NY: Marcel Dekker, pp. 61 and 88.
+
+
+
+
+
+Data: 1 Response (y = pasture yield)
+ 1 Predictor (x = growing time)
+ 9 Observations
+ Higher Level of Difficulty
+ Observed Data
+
+Model: Exponential Class
+ 3 Parameters (b1 to b3)
+
+ y = b1 / (1+exp[b2-b3*x]) + e
+
+
+
+ Starting Values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 100 75 7.2462237576E+01 1.7340283401E+00
+ b2 = 1 2.5 2.6180768402E+00 8.8295217536E-02
+ b3 = 0.1 0.07 6.7359200066E-02 3.4465663377E-03
+
+Residual Sum of Squares: 8.0565229338E+00
+Residual Standard Deviation: 1.1587725499E+00
+Degrees of Freedom: 6
+Number of Observations: 9
+
+
+
+
+
+
+
+
+
+
+
+Data: y x
+ 8.930E0 9.000E0
+ 10.800E0 14.000E0
+ 18.590E0 21.000E0
+ 22.330E0 28.000E0
+ 39.350E0 42.000E0
+ 56.110E0 57.000E0
+ 61.730E0 63.000E0
+ 64.620E0 70.000E0
+ 67.080E0 79.000E0