1  Data Type: Specify the type of input data. Currently, this analysis is only available for continuous data. Since there is only one option available this textbox has been disabled.  
2  X Axis:
Specify the type of Xaxis you would like for the time series analysis. The available options are:
 
3a  Time Series Plot: Select this checkbox to create a time series plot of your data. The data is plotted with respect to an index with the first data point at 1, second at 2 and so on...  
3b  ACF: Create an auto correlation plot of the data. Auto correlation measures the internal correlation within a time series and varies between 1 and +1. At a lag of 0, the auto correlation value is always 1.  
3c  Periodogram: Create a periodogram of the data. The periodogram of the data shows the frequency plot of the data. This plot gives information about how the power or variance in a series is distributed according to the frequency. This plot can be used to detect the periodicity present in the data.  
3d  PCF: Create an partial auto correlation plot of the data.  
3e  Moving Average:
Clicking on this checkbox will create a moving averge smoothing of your data. The moving average is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. Specify the length to calculate the moving average. For example, if the length is 3, then the first moving average is obtained by averaging the first 3 data points, the second moving average is obtained by averaging 2nd, 3rd, and 4th data point and so on...  
3f  Exp Moving Average:
Clicking on this checkbox will create an exponential moving average smoothing of your data. The exponential moving average is a type of moving average where greater weight and significance are placed on the most recent data points. The current value of the moving average is calculated as a constant (alpha) times the current value plus (1alpha) times the previous value of the moving average. Since alpha is less than 1, as you go back in time, the weights keep dropping exponentially. Specify the value of alpha to use for the exponential moving average. A larger value of alpha give more importance to the most recent points and drops off the older data points much faster from the averaging.  
4  Model Selection:
Specify the metric to use for the selection of the best model. The available options are:
 
5  Help Button: Click on this button to open the help file for this topic.  
6  Cancel Button: Click on this button to cancel all changes to the settings and exit this dialog box.  
7  OK Button: Click on this button to save all changes and compute the outputs for this analysis. 
1  Search Data: The available data displays all the columns of data that are available for analysis. You can use the search bar to filter this list and to speed up finding the right data to use for analysis. Enter a few characters in the search field and the software will filter and display the filtered data in the Available Data box.  
2  Available Data: The available data box contains the list of data available for analysis. If your workbook does not have any data in tabular format, this box will display "No Data Found". The information displayed in this box includes the row number, whether the data is Numeric (N) or Text (T), and the name of the column variable. Note that the software displays data from all the tables in the current workbook. Even though data within the same table have unique column names, columns across different tables can have similar names. Hence, it is important that you not only specify the column name but also the table name.  
3  Add or View Data: Click on this button either to add more data into your workbook for analysis or to view more details about the data listed in the available data box. When you click on this button, it opens up the Data Editor dialog box where you can import more data into your workbook, or you can switch from the list view to a table view to see the individual data values for each column.  
4  Required Data: The code for the required data specifies what data can be specified for that box. An example code is N: 24. If the code starts with an N, then you will need to select only numeric columns. If the code starts with a T, then you can select both numeric and text columns. The numbers to the right of the colon specify the minmax values. For example, if the minmax values are 24, then you need to select a minimum of 2 columns of data and a maximum of 4 columns of data in this box. If the minimum value is 0, then no data is required to be specified for this box.  
5  Select Button: Click on this button to select the data for analysis. Any data you select for the analysis is moved to the right. To select a column, click on the columns in the Available Databox to highlight them and then click on the Select Button. A second method to select the data is to double click on the columns in the list of Available Data. Finally, you can also drag and drop the columns you are interested in by holding down the select columns using your left mouse key and dragging and dropping them in one of the boxes on the right.  
6  Selected Data:
If the right amount of data columns has been specified, the list box header will be displayed in the black color. If sufficient data has not been specified, then the list box header will be displayed in the red color. Note that you can doubleclick on any of the columns in this box to remove them from the box. The data you specify for this analysis depends on the options you have specified in the Setup tab.
 
7  View Selection: Click on this button to view the data you have specified for this analysis. The data can be viewed either in a tablular format or in a graphical summary. 
1a  None: If you select the None radio button then no transformation is done to your data. 
1b  Subset:
You can use this option to generate a subset of the existing data. This can be used to reduce the total number of data points in your data set. For example, you can sample every 2nd point and save it as another data set. This will reduce your data size by half. Similarly, you can sample every 3rd point and save it to another data set. This will reduce your data size by a factor of a third and so on. This textbox specifies the number of data points for creating the subset of the data. 
1c  Differences:
You can use this option to make a difference with a lag for the given data set. If you select this radio button, we can compute the differences and store the resultant data in another data set. For example, you can do a difference with a lag of 1 so that the data that is stored is Y(2)  Y(1), Y(3)  Y(2), Y(4)  Y(3), etc. Differencing can help stabilize the mean of a time series by removing changes in the level and therefore eliminating or reducing trend and seasonality.
Specify the lag that should be used for the differencing operation. A lag of 2 implies the third data point is subtracted from the first data point and so on... 
1d  Logarithm: You can use this option to take a logarithm of the original data set and save the values to a new data set. The purpose of taking logarithm of a time series is to stabilize the variance of a series. 
2  Transform Button: Click on the Transform button to perform the requested transformation for the given data. 
1  Generate Checkbox: Click and select the Generate Forecasts checkbox in order to generate forecasts.  
2  Num Forecasts: Specify the number of forecasts to generate. These forecasts will be generated at the end of the time series.  
3  Forecast Model:
Specify the type of model to use for generating the forecasts. The available options are:
 
4  Model Type:
Specify the type of model to use for generating the forecasts. For a trend model, the available options are:
If you are using a seasonal model or HoltWinter model, the following options are available:

1  Title: The system will automatically pick a title for your chart. However, if you would like to override that with your own title you can specify a title for your chart here. Note that this input is optional. 
2  Sub Title: The system will automatically pick a subtitle for your chart. However, if you would like to override that with your own subtitle you can specify a subtitle for your chart here. Note that this input is optional. 
3  X Label: The system will automatically pick a label for the xaxis. However, if you would like to override that with your own label for the xaxis you can specify a different label here. Note that this input is optional. 
4  Y Label: The system will automatically pick a label for the yaxis. However, if you would like to override that with your own label for the yaxis you can specify a different label here. Note that this input is optional. 
5  X Axis: The system will automatically pick a scale for the xaxis. However, if you would like to override that with your values for the xaxis, you can specify them here. The format for this input is to specify the minimum, increment, and maximum values separated by a semicolon. For example, if you specify 10;20 then the minimum xaxis scale is set at 10 and the maximum xaxis scale is set at 20. If you specify 10;2;20, then, in addition to minimum and maximum values, the xaxis increment is set at 2. Note that this input is optional. 
6  Y Axis: The system will automatically pick a scale for the yaxis. However, if you would like to override that with your values for the yaxis, you can specify them here. The format for this input is to specify the minimum, increment, and maximum values separated by a semicolon. For example, if you specify 10;20 then the minimum yaxis scale is set at 10 and the maximum yaxis scale is set at 20. If you specify 10;2;20, then, in addition to minimum and maximum values, the yaxis increment is set at 2. Note that this input is optional. 
7  Horizontal Lines: If you want to add a few extra horizontal reference lines on top of your chart you can specify the values here. The format for this input is numeric values separated by semicolon. For example, if you specify 12;15 then two horizontal lines are plotted at Y = 12 and Y = 15 respectively. Note that this input is optional. 
8  Vertical Lines: If you want to add a few extra vertical reference lines on top of your chart you can specify the values here. The format for this input is numeric values separated by semicolon. For example, if you specify 2;5 then two vertical lines are plotted at X = 2 and X = 5 respectively. Note that this input is optional. 