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The accompanying data table shows quarterly observations on income (Y) and money supply (X) in a certain country. Estimate the model y₁ = Bo + B₁× + YY₁−1+& and write a report on your findings. Click the icon to view the data table. Write a report on your findings. Predictor Constant Coef SE Coef T P

The accompanying data table shows quarterly observations on income (Y) and money supply (X) in a certain country. Estimate the model y₁ = Bo + B₁× + YY₁−1+& and write a report on your findings. Click the icon to view the data table. Write a report on your findings. Predictor Constant Coef SE Coef T P

MATLAB: An Introduction with Applications
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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Income (Y)    Money Supply (X)
116,652    42,011
120,392    43,313
124,572    44,808
132,624    48,056
139,656    50,094
144,752    52,117
150,164    54,253
153,560    56,512
157,328    59,243
161,740    60,783
168,732    64,782
180,002    66,338
182,744    68,694
190,172    72,238
191,592    74,544
195,600    77,300
201,204    80,021
204,160    83,482
207,827    85,868
214,712    87,911

The accompanying data table shows quarterly observations on income (Y) and money supply (X) in a certain country. Estimate the model y₁ =B₁ + B₁×₁ + YY₁ - 1 + & and write a report on your findings. Click the icon to view the data table. Write a report on your findings. Predictor Constant X_MoneySupply Y_lagIncome S= Coef R-Sq= % SE Coef R-Sq(adj) = T % P
Transcribed Image Text:The accompanying data table shows quarterly observations on income (Y) and money supply (X) in a certain country. Estimate the model y₁ =B₁ + B₁×₁ + YY₁ - 1 + & and write a report on your findings. Click the icon to view the data table. Write a report on your findings. Predictor Constant X_MoneySupply Y_lagIncome S= Coef R-Sq= % SE Coef R-Sq(adj) = T % P
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Write a report on your findings. Predictor Constant X_MoneySupply Y_lagIncome S = 2328 Coef 12,718 0.4405 0.7805 R-Sq= 99.4 % Use the report to estimate the model. SE Coef 5392 0.3393 0.1616 T 2.36 1.30 4.83 R-Sq(adj) = 99.4 % P 0.031 0.213 0.000 Y₁ = + x₁ +t-1 Yt (Round the constant to the nearest integer as needed. Round the coefficients to four decimal places as needed.)
Transcribed Image Text:Write a report on your findings. Predictor Constant X_MoneySupply Y_lagIncome S = 2328 Coef 12,718 0.4405 0.7805 R-Sq= 99.4 % Use the report to estimate the model. SE Coef 5392 0.3393 0.1616 T 2.36 1.30 4.83 R-Sq(adj) = 99.4 % P 0.031 0.213 0.000 Y₁ = + x₁ +t-1 Yt (Round the constant to the nearest integer as needed. Round the coefficients to four decimal places as needed.)
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