Compare FORECAST vs INTERCEPT

2 vs

Compare FORECAST vs INTERCEPT side-by-side — differences, popularity and recommendation

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All functions Pick at least 2 functions
Feature
Compatibility
=FORECAST()
★ Winner
Syntax
Statistical
=INTERCEPT()
Syntax
Category
Compatibility compatibility
Statistical statistical
Popularity
35 / 100
20 / 100
Views
◉ 21 views
◉ 34 views
Output
Number
Number
Version
All versions
All versions
Volatile
No
No
Dynamic Array
No
No
Description
Predicts a future value based on a linear trend (the legacy FORECAST.LINEAR)
Calculates the point at which a line will intersect the y-axis by using existing x-values and y-values. The intercept point is based on a best-fit regression line plotted through the known x-values and known y-values. Use the INTERCEPT function when you want to determine the value of the dependent variable when the independent variable is 0 (zero). For example, you can use the INTERCEPT function to predict a metal's electrical resistance at 0°C when your data points were taken at room temperature and higher.
Syntax
=FORECAST(x, known_y's, known_x's)
=INTERCEPT(known_y's, known_x's)
Arguments
3 Arguments
x known_y's known_x's
2 Arguments
known_y's known_x's
Examples
2
1
Tips
3
3

★ Recommendation — Winner: =FORECAST()

=FORECAST() is recommended based on higher popularity, newer version and Dynamic Array support.

Winner: =FORECAST()