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

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Author:Amos Gilat
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8

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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