Y X_1 X_217,042 14,744 0.080517,279 14,516 0.082817,225 14,815 0.078116,813 14,900 0.073816,602 14,829 0.079817,603 14,900 0.091417,517 14,980 0.095718,555 15,085 0.092217,364 14,973 0.09118,547 15,359 0.081318,436 15,362 0.075418,864 15,540 0.071817,567 15,404 0.075318,553 15,649 0.066619,258 15,950 0.058219,646 15,957 0.048218,310 16,031 0.04820,097 16,295 0.051320,055 16,151 0.076222,052 16,803 0.079123,786 17,528 0.100921,886 17,301 0.091923,033 17,503 0.117325,097 17,455 0.141123,819 16,620 0.156624,432 17,779 0.133325,664 18,040 0.131324,098 17,827 0.1263 The attached data contains observations from a country on the quantity of money in millions (Y); income, in millions (X₁); and thelocal authority interest rate (X₂). Estimate the model below and write a report on your findings. What can be concluded fromthe Durbin-Watson statistic for the fitted regression?Yt = Bo + B₁X₁t + B₂X2 + YY₁-1 + &Click the icon to view the data.Click the icon to view a table of Durbin-Watson critical values.B. Ho: p=0H₁: p#0C. Ho: p=0H₁: p<0Determine the critical values, d and du, of the Durbin-Watson Test at x = 0.05.d₁ =du =(Round to two decimal places as needed.)

yt=β0+β1x1t+β2x2t+γyt-1+εt n=28, k=2, α=0.05, where k is the number of independent variables.

Answered: The attached data contains observations…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Related questions

Question

Y X_1 X_2
17,042 14,744 0.0805
17,279 14,516 0.0828
17,225 14,815 0.0781
16,813 14,900 0.0738
16,602 14,829 0.0798
17,603 14,900 0.0914
17,517 14,980 0.0957
18,555 15,085 0.0922
17,364 14,973 0.091
18,547 15,359 0.0813
18,436 15,362 0.0754
18,864 15,540 0.0718
17,567 15,404 0.0753
18,553 15,649 0.0666
19,258 15,950 0.0582
19,646 15,957 0.0482
18,310 16,031 0.048
20,097 16,295 0.0513
20,055 16,151 0.0762
22,052 16,803 0.0791
23,786 17,528 0.1009
21,886 17,301 0.0919
23,033 17,503 0.1173
25,097 17,455 0.1411
23,819 16,620 0.1566
24,432 17,779 0.1333
25,664 18,040 0.1313
24,098 17,827 0.1263