Table 11 Price by FVAR-FTrN.

From: Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models

Mean dependent var

903.2184

S.D. dependent var

266.1969

Sum square resid

1,585,065

S.E. of regression

262.5183

R-square

0.724070

Adjusted R-square

0.77447

F(24, 23)

1.055268

P-value(F)

0.009864

MAPE

0.095579

Durbin-Watson

1.227813

  1. F-tests of zero restrictions:
  2. \({\text{All lags of TrPd F}}\left( {{\text{12}},{\text{ 23}}} \right)\,=\,{\text{1}}.{\text{4795 }}\left[ {0.0{\text{4}}0{\text{24}}} \right].\)\({\text{All lags of TrPr F}}\left( {{\text{12}},{\text{ 23}}} \right)\,=\,0.{\text{94876 }}\left[ {0.0{\text{4197}}} \right].\)\({\text{All vars, lag 12 F}}\left( {{\text{2, 23}}} \right)\,{\text{ = }}\,{\text{0}}{\text{.060738 }}\left[ {{\text{0}}{\text{.0412}}} \right].\).
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