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Compare SLOPE vs INTERCEPT

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

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All functions Pick at least 2 functions
Feature
Statistical
=SLOPE()
★ Winner
Syntax
Statistical
=INTERCEPT()
Syntax
Category
Statistical statistical
Statistical statistical
Popularity
25 / 100
20 / 100
Views
◉ 43 views
◉ 68 views
Output
Number
Number
Version
All versions
All versions
Volatile
No
No
Dynamic Array
No
No
Description
Returns the slope of the linear regression line through data points in known_y's and known_x's. The slope is the vertical distance divided by the horizontal distance between any two points on the line, which is the rate of change along the regression line.
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
=SLOPE(known_y's, known_x's)
=INTERCEPT(known_y's, known_x's)
Arguments
2 Arguments
known_y's known_x's
2 Arguments
known_y's known_x's
Examples
1
1
Tips
3
3

★ Recommendation — Winner: =SLOPE()

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

Winner: =SLOPE()