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Explanation: Significant autocorrelation at lag kk k means that the value at a given time tt t is correlated with its value at time t−kt-k t − k . This predictable relationship is crucial in identifying patterns that can improve forecasting accuracy. High autocorrelation suggests that past values influence future values, forming the basis for autoregressive modeling. For instance, in stock market analysis, if prices at t−1t-1 t − 1 strongly correlate with tt t , autoregressive models like ARIMA are effective for prediction. Option A: Stationarity involves constant statistical properties over time, not autocorrelation. Option C: Seasonal decomposition deals with cyclical patterns, not autocorrelation. Option D: Random residuals indicate a well-fitted model, unrelated to autocorrelation. Option E: Significant autocorrelation indicates linear dependency, not independence.
Seed rate of lentil crop is ____
Which crop is commonly referred to as the "Camel Crop" due to its remarkable ability to endure prolonged drought conditions?
Which of the following plantation crop is popularly known as “Queen of beverages”
Crop failure due to prolonged dry spells during crop period and less than 75 days of crop growing season are the characteristics of which type of farming?
Cultivation of two or more crops simultaneously on the same land without definite row pattern or fixed ratio is called _____.
Goma Kirti is a improved variety of which fruit crop:-
Harvest index of 19% (lowest among pulses) is observed in which crop?
Citrus canker is _____ disease.
The practice of growing more than one crop on the same field at the same time in a definite row pattern, called………………
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