Divide the monthly average by the overall monthly average to get the Seasonal Index for each month. Divide the sales amount for that month by the seasonal index for that month to deseasonalize your data.
Deseasonalized data can be used to investigate the trend and any lingering irregularities. You should keep the original data for future modelling reasons because information is lost during the seasonal adjustment process.
Choose the data set that includes the timeline series and values.
Select Data > Forecast > Forecast Sheet from the drop-down menu.
Decide on a chart type (we recommend using a line or column chart).
Set a deadline for predicting.
Press the Create button.
You can use historical time-based data to make a forecast if you have it. When you make a prediction, Excel creates a new worksheet with a table of historical and anticipated values as well as a chart to visualise the information.
The following is the difference between TREND and FORECAST in Excel: The FORECAST function can only forecast future values using current values as a starting point. Both present and future trends can be calculated using the TREND function.
How to get dataset
I am looking for this course in Telugu language, Is there any possibilities in Telugu.
Nitesh kumar gupta
nice course all the video explained very well from scratch to advance
Overall Lectures are good but also provide the practicing spreadsheets for students.
very good experience
i dont think some one can explain deeply ,practically rathere than this tutor
some excercise should be there. I have not studied standerd deviation of population in second module but question has been asked.
Share a personalized message with your friends.