Zambia is import-dependent country shows import model is given as Y= β"0"+ β"1" X"1"+β"2" X"2"+ μ where Y is total imports, X1 is GNP and X2 is price Index of imports. For the past twelve months, data has been collected and compiled as in the table below
Obs | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Y | 57 | 43 | 73 | 37 | 64 | 48 | 56 | 50 | 39 | 43 | 69 | 60 |
X1 | 220 | 215 | 250 | 241 | 305 | 258 | 354 | 321 | 370 | 375 | 385 | 385 |
X2 | 125 | 147 | 118 | 160 | 128 | 149 | 145 | 150 | 140 | 115 | 155 | 152 |
REQUIRED
a). Estimated model and interpret the results (18mks)
b). Compute the unexplained variations of the model (3Mks)
c). Determine the overall significance of the Model (4mks) (Hint: Use ANOVA/F test)
Zambia is import-dependent country shows import model is given as Y= β"0"+ β"1" X"1"+β"2"...
Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with alphabetically both rows and columns I was successful with these steps but I am stuck with next step below is my code and screenshot import numpy as np import pandas as pd data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None) df_input=pd.DataFrame(data) df_output=pd.DataFrame(np.arange(676).reshape((26,26)), index = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'], columns = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']) df_output.index.name="Start" df_output.columns.name="End" df_output This below screen shot is what I have to find I have to find each word...