- Free Excel Mac Download
- Forecast Sheet Excel Mac Download Version
- Forecast Sheet Excel Mac Download Crack
- Excel Forecast Sheet
- Forecast Sheet Excel Mac Download Windows 10
- Forecast Sheet Excel Mac Download Software
The tutorial explains how to use Excel FORECAST and other related functions with formula examples.
Latest updates for Excel for Mac There's nothing new in Version 1302, the August release, but check out this feature we released recently. Automatically use new data types. Mar 13, 2019. Then, under the ‘Forecast’ group, click the ‘Forecast Sheet’ icon: A window will pop up about creating a forecast worksheet. In here, you can choose when the forecast will end by adjusting the date as well as the chart that will be used to visualize the forecast.
In Microsoft Excel, there are several functions that can help you create linear and exponential smoothing forecasts based on historical data such as sales, budgets, cash flows, stock prices, and the like.
Mac 2016 office update download. The main focus of this tutorial will be on the two main forecasting functions, but we will touch briefly on other functions as well to help you understand their purpose and basic uses.
Excel forecasting functions
Generate key file from crt openssl. In the recent versions of Excel, there exist six different forecasting functions.
The two functions do linear forecasts:
- FORECAST - predicts future values by using linear regression; a legacy function for backwards compatibility with Excel 2013 and earlier.
- LINEAR - identical to the FORECAST function; part of the new suite of forecasting functions in Excel 2016 and Excel 2019.
The four ETS functions are purposed for exponential smoothing forecasts. These functions are only available in Excel for Office 365, Excel 2019, and Excel 2016.
- ETS - predicts future values based on the exponential smoothing algorithm.
- ETS.CONFINT - calculates the confidence interval.
- ETS.SEASONALITY - calculates the length of a seasonal or other recurring pattern.
- ETS.STAT - returns statistical values for time series forecasting.
Free Excel Mac Download
Excel FORECAST function
The FORECAST function in Excel is used to predict a future value by using linear regression. In other words, FORECAST projects a future value along a line of best fit based on historical data.
The syntax of the FORECAST function is as follows:
Where:
- X (required) - a numerical x-value for which you want to predict a new y-value.
- Known_y's (required) - an array of known dependent y-values.
- Known_x's (required) - an array of known independent x-values.
The FORECAST function works in all versions of Excel for Office 365, Excel 2019, Excel 2016, Excel 2013, Excel 2010, Excel 2007, Excel 2003, Excel XP, and Excel 2000.
Note. In Excel 2016 and 2019, this function has been replaced with FORECAST.LINEAR, but is still available for backward compatibility.
Excel FORECAST.LINEAR function
The FORECAST.LINEAR function is the modern counterpart of the FORECAST function. It has the same purpose and syntax:
This function is available in Excel for Office 365, Excel 2019, and Excel 2016.
Forecast Sheet Excel Mac Download Version
How FORECAST and FORECAST.LINEAR calculate future values
Both functions calculate a future y-value by using the linear regression equation:
y = a + bx
Where the a constant (intercept) is:
And the b coefficient (slope of the line) is:
The values of x̄ and ȳ are the sample means (averages) of the known x-values and y-values.
Excel FORECAST function not working:
Broken age mac free download. If your FORECAST formula returns an error, this is most likely because of the following reasons:
- If the known_x's and known_y's ranges are of different lengths or empty, the #N/A! error occurs.
- If the x value is non-numeric, the formula returns the #VALUE! error.
- If the variance of known_x's is zero, the #DIV/0! error occurs.
How to use FORECAST function in Excel - formula example
As already mentioned, the Excel FORECAST and FORECAST.LINEAR functions are purposed for linear trend forecasting. Clash of clans for macos. They work best for linear datasets and in situations when you want to forecast a general trend ignoring insignificant data fluctuations.
As an example, we will try to predict our web-site traffic for the next 7 days based on the data for the previous 3 weeks.
With the known y-values (no. of visitors) in B2:B22 and the known x-values (dates) in A2:A22, the forecast formula goes as follows.
Excel 2019 - Excel 2000:
=FORECAST(A23, $B$2:$B$22, $A$2:$A$22)
Excel 2016 and Excel 2019:
=FORECAST.LINEAR(A23, $B$2:$B$22, $A$2:$A$22)
Where A23 is a new x-value for which you wish to predict a future y-value.
Depending on your Excel version, insert one of the above formulas in any empty cell in row 23, copy it down to as many cells as needed and you will get this result:
Please pay attention that we lock the ranges with absolute cell references (like $A$2:$A$2) to prevent them from changing when copying the formula to other cells.
Plotted on a graph, our linear forecast looks as follows:
The detailed steps to make such a graph are described in Linear regression forecasting chart.
If you'd like to predict future values based on the recurring pattern observed in your historical data, then use FORECAST.ETS instead of the Excel FORECAST function. And the next section of our tutorial shows how to do this.
Excel FORECAST.ETS function
The FORECAST.ETS function is used to do exponential smoothing forecasts based on a series of existing values.
More precisely, it predicts a future value based on the AAA version of the Exponential Triple Smoothing (ETS) algorithm, hence the function's name. This algorithm smoothes out insignificant deviations in data trends by detecting seasonality patterns and confidence intervals. 'AAA' stands for additive error, additive trend and additive seasonality.
The FORECAST.ETS function is available in Excel for Office 365, Excel 2019, and Excel 2016.
The syntax of the Excel FORECAST.ETS is as follows:
FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation])
Where:
- Target_date (required) - the data point for which to forecast a value. It can be represented by a date/time or number.
- Values (required) - a range or array of historical data for which you want to predict future values.
- Timeline (required) - an array of dates/times or independent numeric data with a constant step between them.
- Seasonality (optional) - a number representing the length of the seasonal pattern:
- 1 or omitted (default) - Excel detects seasonality automatically by using positive, whole numbers.
- 0 - no seasonality, i.e. a linear forecast.
The maximum allowed seasonality is 8,760, which is the number of hours in a year. A higher seasonality number will result in the #NUM! error. - Data completion (optional) - accounts for missing points.
- 1 or omitted (default) - fill in the missing points as the average of the neighboring points (liner inrerpolation).
- 0 - treat the missing points as zeros.
- Aggregation (optional) - specifies how to aggregate multiple data values with the same time stamp.
- 1 or omitted (default) - the AVERAGE function is used for aggregation.
- Your other options are: 2 - COUNT, 3 - COUNTA, 4 - MAX, 5 - MEDIAN, 6 - MIN and 7 - SUM.
5 things you should know about FORECAST.ETS
- For the correct work of the FORECAST.ETS function, the timeline should have a regular interval - hourly, daily, monthly, quarterly, yearly, etc.
- The function is best suited for non-linear data sets with seasonal or other repetitive pattern.
- When Excel cannot detect a pattern, the function reverts to a linear forecast.
- The function can work with incomplete datasets where up to 30% data points are missing. The missing points are treated according to the value of the data completion argument.
- Although a timeline with a consistent step is required, there may be duplicates in the date/time series. The values with the same timestamp are aggregated as defined by the aggregation argument.
FORECAST.ETS function not working:
If your formula produces an error, this is likely to be one of the following:
- The #N/A occurs if the values and timeline arrays have different length.
- The #VALUE! error is returned if the seasonality, data completion or aggregation argument is non-numeric.
- The #NUM! error may be thrown because of the following reasons:
- A consistent step size cannot be detected in timeline.
- The seasonality value is out of the supported range (0 - 8,7600).
- The data completion value is other than 0 or 1.
- The aggregation value is out of the valid range (1 - 7).
How to use FORECAST.ETS function in Excel - formula example
To see how the future values calculated with exponential smoothing are different from a linear regression forecast, let's make a FORECAST.ETS formula for the same data set that we used in the previous example:
Where:
- A23 is the target date
- $B$2:$B$22 are the historical data (values)
- $A$2:$A$22 are the dates (timeline)
By omitting the last three arguments (seasonality, data completion or aggregation) we rely on Excel defaults. And Excel forecasts the trend perfectly:
Excel FORECAST.ETS.CONFINT function
The FORECAST.ETS.CONFINT function is used to calculate the confidence interval for a forecasted value.
The confidence interval is kind of a measure of the prediction accuracy. The smaller the interval, the more confidence in the prediction for a specific data point.
The FORECAST.ETS.CONFINT is available in Excel for Office 365, Excel 2019, and Excel 2016.
The function has the following arguments:
FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data completion], [aggregation])
As you see, the syntax of FORECAST.ETS.CONFINT is very similar to that of the FORECAST.ETS function, except this additional argument:
Confidence_level (optional) - a number between 0 and 1 that specifies a level of confidence for the calculated interval. Typically, it is supplied as a decimal number, though percentages are also accepted. For instance, to set a 90% confidence level, you enter either 0.9 or 90%.
- If omitted, the default value of 95% is used, meaning that 95% of the time a predicted data point is expected to fall within this radius from the value returned by FORECAST.ETS.
- If the confidence level is outside of the supported range (0 - 1), the formula returns the #NUM! error.
FORECAST.ETS.CONFINT formula example
To see how it works in practice, let's calculate the confidence interval for our sample data set:
=FORECAST.ETS.CONFINT(A23, $B$2:$B$22, $A$2:$A$22)
Where:
- A23 is the target date
- $B$2:$B$22 are the historical data
- $A$2:$A$22 are the dates
The last 4 arguments are omitted, telling Excel to use the default options:
- Set the confidence level to 95%.
- Detect seasonality automatically.
- Complete missing points as the average of the neighboring points.
- Aggregate multiple data values with the same timestamp by using the AVERAGE function.
To grasp what the returned values actually mean, please take a look at the screenshot below (some rows with historical data are hidden for the sake of space).
The formula in D23 gives the result 6441.22 (rounded to 2 decimal points). What it means is that 95% of the time, the prediction for 11-Mar is expected to fall within 6441.22 of the forecasted value 61,075 (C3). That is 61,075 ± 6441.22.
To find out the range within which the forecasted values are likely to fall, you can calculate the confidence interval bounds for each data point.
To get the lower bound, subtract the confidence interval from the forecasted value:
Forecast Sheet Excel Mac Download Crack
To get the upper bound, add the confidence interval to the forecasted value:
=C23+D23
Where C23 is the predicted value returned by FORECAST.ETS and D23 is the confidence interval returned by FORECAST.ETS.CONFINT.
Copy the above formulas down, plot the results on a chart, and you will have a clear visual representation of the predicted values and the confidence interval:
Tip. To have such a graph created for you automatically, leverage the Excel Forecast Sheet feature.
Excel FORECAST.ETS.SEASONALITY function
The FORECAST.ETS.SEASONALITY function is used to calculate the length of a recurring pattern in the specified timeline. It is closely tied with FORECAST.ETS because both functions use the same algorithm to detect seasonality.
This function is available in Excel for Office 365, Excel 2019, and Excel 2016.
The syntax of FORECAST.ETS.SEASONALITY is as follows:
FORECAST.ETS.SEASONALITY(values, timeline, [data_completion], [aggregation])
For our data set, the formula takes the following shape:
=FORECAST.ETS.SEASONALITY(B2:B22, A2:A22)
And returns the seasonality 7, which perfectly agrees with the weekly pattern of our historical data:
Excel FORECAST.ETS.STAT function
The FORECAST.ETS.STAT function in returns a specified statistical value relating to a time series exponential smoothing forecasting.
Like other ETS functions, it is available in Excel for Office 365, Excel 2019, and Excel 2016. Blast from the past full movie free download.
The function has the following syntax:
FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])
The statistic_type argument indicates which statistical value to return:
- Alpha (base value) - the smoothing value between 0 and 1 that controls the weighting of data points. The higher the value, the more weight is given to recent data.
- Beta (trend value) - the value between 0 and 1 that determines the trend calculation. The higher the value, the more weight is given to recent trends.
- Gamma (seasonality value) - the value between 0 and 1 that controls the seasonality of the ETS forecast. The higher the value, the more weight is given to the recent seasonal period.
- MASE (mean absolute scaled error) - a measure of the forecast accuracy.
- SMAPE (symmetric mean absolute percentage error) - a measure of accuracy based on percentage or relative errors.
- MAE (mean absolute error) - measures the average magnitude of the prediction errors, regardless of their direction.
- RMSE (root mean square error) - a measure of the differences between the predicted and observed values.
- Step size detected - the step size detected in the timeline.
For example, to return the Alpha parameter for our sample data set, we use this formula:
=FORECAST.ETS.STAT(B2:B22, A2:A22, 1)
Excel Forecast Sheet
The screenshot below shows the formulas for other statistical values:
That's how you do time series forecasting in Excel. To investigate all the formulas discussed in this tutorial, you are welcome to download our Excel Forecast Sample Workbook. I thank you for reading and hope to see you on our blog next week!
You may also be interested in
The new Forecast Sheet feature in Excel 2016 makes it super easy to turn a worksheet containing historical financial data into a remarkable visual forecast worksheet. All you do is open the worksheet with your historical data, position the cell cursor in one its cells, and then click the Forecast Sheet button on the Data Tab of the Ribbon (Alt+AFC).
Excel then selects all the historical data in the surrounding worksheet table (which typically includes a column for dates as well as one for the related financial data) while at the same time opening the Create Forecast Worksheet dialog box (similar to the one shown here).
Defining the options for a new line chart that shows historical and projected sales in the Create a Forecast Worksheet dialog box.
By default, Excel selects a line chart to visually depict the trends in its forecast, but, if you wish, you can have the program use a column chart instead. Simply click the Column Chart icon to the immediate right of the Line Chart icon at the top of the Create Forecast Worksheet dialog box.
In addition to selecting the type of chart to be used in the forecast worksheet, you can also control the date at which the forecast chart ends. You do this by selecting a new date in the Forecast End text box that appears below the preview of the embedded line or column chart. For example, the historical data table includes annual sales for the years 2000 through 2015, and Excel automatically uses this data to extend the forecast end date out four years to 2019. To extend the forecast beyond this end date, simply enter the new year into the Forecast End text box (or select one with the spinner buttons).
Beneath the Forecast End text box in the Create Forecast Worksheet dialog box, you find an Options button that when clicked (as shown) expands the dialog box to include the following options:
- Forecast Start enables you to select a starting date in the historical data later than the one Excel automatically selects (which is the first date in the worksheet table).
- Confidence Interval allows you to select a new degree confidence that Excel uses to set the Lower- and Upper Confidence Bound line in the forecast when using the default line chart.
- Seasonally changes from the Detect Automatically to Set Manually option where you can enter or select a new value indicating the number of points in the values range of your data table that are part of a recurring seasonal pattern. When Excel can’t automatically detect seasonality in your worksheet data, a warning appears that so advises you and suggests that you select the Set Manually option button (and leave the default setting at zero) to get better results in the forecast.
- Include Forecast Statistics Office 365 mac full download. has Excel include a table of forecast accuracy metrics and smoothing factors in the resulting forecast worksheet.
- Timeline Range t modifes the cell range containing the date values in your historical data (by default, Excel selects all these values it identifies in the current worksheet table).
- Values Range modifies the cell range containing the financial values in your historical data (by default, Excel selects all these values it identifies in the current worksheet table).
- Fill Missing Points Using to have Excel automatically fill in any missing data points it finds in the worksheet table in the forecast chart using either interpolation or zeros.
- Aggregate Duplicates Using t modifies the statistical function.
After selecting all the desired options in the Create Forecast Worksheet dialog box, you have only to click the Create button to have Excel create a new forecast worksheet. This new sheet contains a formatted data table that combines your historical data with the forecast values as well as an embedded line or column chart (depending upon your selection) depicting the trend in both the historical and forecast values.
Forecast Sheet Excel Mac Download Windows 10
The following figure shows the brand new forecast worksheet that the Excel Forecast Sheet feature created for me using the original historical sales data shown in the preceding figure after selecting the Set Manually option button with the setting at zero and selecting the Include Forecast Statistics check box before clicking Create in the Create Forecast Worksheet dialog box. As you can see, Excel placed this new forecast worksheet (named Sheet 1) before the worksheet containing my historical data (named Annual Sales).
Forecast Sheet Excel Mac Download Software
Worksheet with embedded line chart depicting historical and forecast sales created with the Forecast Sheet feature.
Note that in order to display all the forecast values in the new formatted data table shown, the embedded line chart is repositioned and resized so that it fits nicely in the lower-right corner before taking the screenshot. You could move this chart to its own chart sheet before saving the new forecast table and chart as part of the Historical and Forecast Sales workbook.