Statistical =FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation])

Quiz =FORECAST.ETS — 10 Questions

10 quiz questions about =FORECAST.ETS — test syntax, arguments, examples & errors!

Questions: 10 questions 15 questions Random 10 or 15 questions from the pool + shuffled options each time

← FORECAST.ETS ▦ Practice in Playground

Progress — 10 questions 1 of 10

Question 1 of 10 1/10

What usually causes #NUM! in =FORECAST.ETS?

Question 2 of 10 2/10

Is argument “seasonality” required in =FORECAST.ETS?

Question 3 of 10 3/10

Which use case fits =FORECAST.ETS?

Question 4 of 10 4/10

Which is the correct syntax of =FORECAST.ETS?

Question 5 of 10 5/10

How many required arguments does =FORECAST.ETS have?

Question 6 of 10 6/10

What is the type of argument “aggregation” in =FORECAST.ETS?

Question 7 of 10 7/10

Which category does =FORECAST.ETS belong to?

Question 8 of 10 8/10

What usually causes #VALUE! in =FORECAST.ETS?

Question 9 of 10 9/10

What is the type of argument “target_date” in =FORECAST.ETS?

Question 10 of 10 10/10

Is argument “data” required in =FORECAST.ETS?

Click a question to see the answer.

1. What usually causes #NUM! in =FORECAST.ETS?

A. If the target date is chronologically before the end of the historical timeline, FORECAST.ETS returns the #NUM! error. If a constant step can't be identified in the provided timeline, FORECAST.ETS will return the #NUM! error. For any other value, FORECAST.ETS will return the #NUM! error. Any seasonality above that number will result in the #NUM! error. ✓
B. خط زمانی شامل مقادیر تکراری است.
C. Only works in old versions
D. Text is always ignored

Explanation: If the target date is chronologically before the end of the historical timeline, FORECAST.ETS returns the #NUM! error. If a constant step can't be identified in the provided timeline, FORECAST.ETS will return the #NUM! error. For any other value, FORECAST.ETS will return the #NUM! error. Any seasonality above that number will result in the #NUM! error. — Fix: مطمئن شوید تاریخ هدف بعد از خط زمانی است، گام خط زمانی ثابت باشد و seasonality بین ۰ تا ۸٬۷۶۰ و مقدار مجاز باشد.

2. Is argument “seasonality” required in =FORECAST.ETS?

A. No ✓
B. No
C. —
D. Yes

Explanation: “seasonality” is optional.

3. Which use case fits =FORECAST.ETS?

A. Error Handling
B. Sort, Filter & Dedupe
C. Reporting
D. Forecasting & Trends ✓

Explanation: Use case “Forecasting & Trends” fits FORECAST.ETS.

4. Which is the correct syntax of =FORECAST.ETS?

A. =FORECAST-ETS-CONFINT(target_date, values, timeline, [seasonality], [data_completion], [aggregation])
B. =FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation], 0)
C. =FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation]) ✓
D. FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation])

Explanation: Correct syntax: =FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation])

5. How many required arguments does =FORECAST.ETS have?

A. 5
B. 2
C. 3 ✓
D. 4

Explanation: =FORECAST.ETS has 3 required, 3 optional (6 total).

6. What is the type of argument “aggregation” in =FORECAST.ETS?

A. Number ✓
B. Date
C. Logical
D. Reference

Explanation: Type of “aggregation” is “Number”.

7. Which category does =FORECAST.ETS belong to?

A. Statistical ✓
B. Web
C. Lookup & Reference
D. Cube

Explanation: Category is “Statistical”.

8. What usually causes #VALUE! in =FORECAST.ETS?

A. Output is always a dynamic array
B. Volatile and recalculates every time
C. If timeline contains duplicate values, FORECAST.ETS will return the #VALUE! error. ✓
D. Only works in old versions

Explanation: If timeline contains duplicate values, FORECAST.ETS will return the #VALUE! error. — Fix: مقادیر تکراری را از خط زمانی حذف کنید.

9. What is the type of argument “target_date” in =FORECAST.ETS?

A. Mixed
B. Value
C. Text
D. Date ✓

Explanation: Type of “target_date” is “Date”.

10. Is argument “data” required in =FORECAST.ETS?

A. —
B. Yes
C. No
D. No ✓

Explanation: “data” is optional.