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In Station \#3 Model Design we have used ARIMA model to predict time series into the future. What does the term autocovariance actually mean? Quadratic dependence between two points on the same series observed at different times Linear dependence between two points on different series observed at same time Linear dependence between two points on the same series observed at different times Question 25 SUBNSAVED The following code line \begin{tabular}{|l|l|} \hline & PYTHON LI \\ \hline 1 \# Prepare and load database from IMDb reviews - sentiment analytics app \\ 2 embedding_layer = layers.Embedding(1000, 5) \end{tabular} depicts the embedding layer that can be understood as a lookup table that maps from integer indices (which stand for specific words) to dense vectors (their embeddings). The dimensionality (or width) of the embedding is a parameter you can experiment with to see what works well for your problem, much in the same way you would experiment with the number of neurons in a Dense layer. True False