{"id":196,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/forecast-ets-confint\/"},"modified":"2021-02-13T11:34:08","modified_gmt":"2021-02-13T11:34:08","slug":"forecast-ets-confint","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/forecast-ets-confint\/","title":{"rendered":"FORECAST.ETS.CONFINT"},"content":{"rendered":"<p>Today we&#8217;ll explore the FORECAST.ETS.CONFINT function, a robust tool for forecasting that&#8217;s available in both Microsoft Excel and Google Sheets. This function is particularly useful for calculating the confidence interval of a predicted future value based on historical data. We&#8217;ll delve into the function&#8217;s syntax, illustrate its application in various scenarios, and show you how to use it effectively.<\/p>\n<h2>Syntax<\/h2>\n<p>The syntax of the FORECAST.ETS.CONFINT function is consistent across both Excel and Google Sheets and includes the following parameters:<\/p>\n<table>\n<tr>\n<th>Parameter<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>x<\/td>\n<td>The numeric data point for which you want to forecast the confidence interval.<\/td>\n<\/tr>\n<tr>\n<td>data<\/td>\n<td>An array or range representing the historical data.<\/td>\n<\/tr>\n<tr>\n<td>timeline<\/td>\n<td>An array or range of sequential numeric data points that represent the timeline of the historical data.<\/td>\n<\/tr>\n<tr>\n<td>confidenceLevel<\/td>\n<td>The confidence level for the interval (between 0 and 1).<\/td>\n<\/tr>\n<tr>\n<td>seasonality<\/td>\n<td>An optional parameter that defines the period of the data&#8217;s cyclical pattern.<\/td>\n<\/tr>\n<\/table>\n<h2>Examples<\/h2>\n<h2>Example 1: Sales Forecast<\/h2>\n<p>Consider a dataset with monthly sales data from the past year located in cells A2:B13. You aim to predict sales for the upcoming month while determining the confidence interval.<\/p>\n<pre><code>=FORECAST.ETS.CONFINT(A14, B2:B13, A2:A13, 0.95, 12)<\/code><\/pre>\n<p>This formula uses A14 to predict next month&#8217;s sales, B2:B13 as the historical sales data, A2:A13 as the timeline, 0.95 as the 95% confidence level, and 12 to specify a year-long seasonality.<\/p>\n<h2>Example 2: Stock Price Prediction<\/h2>\n<p>Imagine you have a dataset containing daily stock prices in cells A2:B252. Your goal is to forecast the stock price for the next trading day with a 90% confidence interval.<\/p>\n<pre><code>=FORECAST.ETS.CONFINT(A253, B2:B252, A2:A252, 0.90)<\/code><\/pre>\n<p>In this scenario, A253 is the projected next day stock price, B2:B252 includes the past stock prices, A2:A252 specifies the timeline of data, and 0.90 sets the confidence level at 90%.<\/p>\n<p>The FORECAST.ETS.CONFINT function enables insightful and statistically grounded predictions by leveraging historical data along with specified uncertainty levels.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Returns a confidence interval for the forecast value at the specified target date<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203],"tags":[],"class_list":["post-196","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel FORECAST.ETS.CONFINT Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel FORECAST.ETS.CONFINT function does. 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