# Y-intercept

## Definition of Y-intercept

Y-intercept: The y-intercept is the point at which a line or curve crosses the y-axis. It is the point at which the line has a slope of zero.

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# Y-intercept

## Definition of Y-intercept

*Related*

## Similar Posts

### Data Frame

### Categorical Variable

### Universality

### Multivariate

### Time-Series

### HBase

Y-intercept: The y-intercept is the point at which a line or curve crosses the y-axis. It is the point at which the line has a slope of zero.

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A categorical variable is a data type that represents qualitative information. For example, colors (red, blue, green), genders (male, female), and religions (Catholic, Protestant, Muslim) are all categorical…

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Definition of Universality Universality: Universality is the property of being applicable to a class of objects or phenomena. In data science, this means that a model or algorithm can be used to solve a problem for a wide range of data sets. This makes universality an important property for any data science toolkit.

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Definition of Multivariate Multivariate: Multivariate refers to a dataset or analysis that considers more than one variable at a time. For example, in a multivariate analysis, you might examine the relationship between height and weight in order to understand how they are related. How is Multivariate used? Multivariate analysis is a collection of techniques used…

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Definition of Time-Series Time-Series: A time-series is a sequence of data points, usually measured at successive points in time. Time-series analysis is the process of examining these data points in order to identify and understand trends and patterns. Time-series data can be used to predict future events, track performance over time, or measure the impact…

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