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The following are regression Results for Monthly Cash Flow Study Coefficients Standard Error Intercept 26.8625 12.15146 Lag 1 0.7196 0.042584 Autocorrelation of the Residual Lag Autocorrelation Standard Error 12 -0.0254 0.0632 (Hint: For the below, questions select the choices and indicate your answer on the blank spaces. e.g. If the correct choice is option C. indicate C as your answer and don't type the narration) 1. The number of observations in the time series used to estimate the model represented in the table above is closest to: A. 16. B. 50. C. 250. Explain why discrete variables may be included in a regression analysis. t- statistic 2.210639 16.89837 t- Statistic -0.4019 p-Value 0.035719 <0.0001 p-Value 0.5612

The following are regression Results for Monthly Cash Flow Study Coefficients Standard Error Intercept 26.8625 12.15146 Lag 1 0.7196 0.042584 Autocorrelation of the Residual Lag Autocorrelation Standard Error 12 -0.0254 0.0632 (Hint: For the below, questions select the choices and indicate your answer on the blank spaces. e.g. If the correct choice is option C. indicate C as your answer and don't type the narration) 1. The number of observations in the time series used to estimate the model represented in the table above is closest to: A. 16. B. 50. C. 250. Explain why discrete variables may be included in a regression analysis. t- statistic 2.210639 16.89837 t- Statistic -0.4019 p-Value 0.035719 <0.0001 p-Value 0.5612

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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The following are regression Results for Monthly Cash Flow Study Coefficients Standard t- Error statistic Intercept 26.8625 12.15146 2.210639 Lag 1 0.7196 0.042584 16.89837 Autocorrelation of the Residual Lag Autocorrelation Standard t- Error Statistic 12 -0.0254 0.0632 -0.4019 (Hint: For the below, questions select the choices and indicate your answer on the blank spaces. e.g. If the correct choice is option C. indicate C as your answer and don't type the narration) 1. The number of observations in the time series used to estimate the model represented in the table above is closest to: A. 16. B. 50. C. 250. Explain why discrete variables may be included in a regression analysis. p-Value 0.035719 <0.0001 p-Value 0.5612
Transcribed Image Text:The following are regression Results for Monthly Cash Flow Study Coefficients Standard t- Error statistic Intercept 26.8625 12.15146 2.210639 Lag 1 0.7196 0.042584 16.89837 Autocorrelation of the Residual Lag Autocorrelation Standard t- Error Statistic 12 -0.0254 0.0632 -0.4019 (Hint: For the below, questions select the choices and indicate your answer on the blank spaces. e.g. If the correct choice is option C. indicate C as your answer and don't type the narration) 1. The number of observations in the time series used to estimate the model represented in the table above is closest to: A. 16. B. 50. C. 250. Explain why discrete variables may be included in a regression analysis. p-Value 0.035719 <0.0001 p-Value 0.5612
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