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AR 1 Analysis of data for an autoregressive forecasting model has produced the following tables. df SS MS F P -value Regression 2 135753.5 67876.76

AR 1

Analysis of data for an autoregressive forecasting model has produced the following tables.

df

SS

MS

F

P-value

Regression

2

135753.5

67876.76

107.3336

0.0000019

Residual

43

27192.79

632.3904

Total

45

162946.3

Coefficients

Standard Error

t-Statistic

P-value

Intercept

4.85094

5.745787

0.84426

0.40299

yt - 1

-0.10434

0.062849

-1.66023

0.103822

yt - 2

0.962669

0.065709

14.65044

0.0000000969

The actual values of this time series y were 228 for May, 54 for June and 191 for July. The predicted (forecast) value for August is:

Select one:

a.

36.91

b.

174.41

c.

218.71

d.

83.67

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