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There is high level of fluctuation in a zigzag pattern in the time series for RESI1 which indicates that there is possibly negative autocorrelation present.
Column C11 shows the variation of the values that are illustrated in the time series graph and in this case there is possibly negative autocorrelation but it is not clearly visible on the time series therefore it can be identified from the RESI1 figures below as it is positive value at first and then drops down to a negative value.
In a time series an outlier is referred to a point that is usually a high data point or small data point in contrast to the rest of the data. There is a definite outlier in this times series which is value 0.203811 with the index of 448 because most data points fall in between 0.00 to 0.05 as evident on the time series. This data point has high leverage as they disproportionate distance away from the rest of values and it can have an influence on the slope of the regression line. A zigzag pattern or a wave form cannot be easily recognized and shows there is no autocorrelation.
The distribution over distributions in the sense that each draw from the process is itself the distribution. The name Dirichlet process or procedure is due to the fact that the ?ni
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The graph for Partial Autocorrelation Function for RES1 shows that there is no autocorrelation even though there are alternating spikes because they fall inside the 5% significance
Hypergeometric distribution is t he probability distribution related with the sampling without replacement from the population of finite size. If the population comprises of r ele
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1. define statistical algorithms 2. write the flow charts for statistical algorithms for sums, squares and products. 3. write flow charts for statistical algorithms to generates ra
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