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Linear relationship between two variables
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Linear relationship between two variables
Linear Relationship between Two Variables


Linear relationship refers to the relationship between two variables that can be represented by a straight line on a graph. In this type of relationship, as one variable increases, the other variable also increases at a constant rate. Similarly, as one variable decreases, the other variable also decreases at a constant rate.


Characteristics of Linear Relationship


  • Linearity: The relationship between the two variables is linear, meaning they can be represented by a straight line on a graph.

  • Constant rate of change: As one variable increases, the other variable also increases at a constant rate.

  • Proportional: The ratio of the two variables remains constant throughout the relationship.

  • Opposite direction: The relationship can be positive, meaning that as one variable increases, so does the other. Or it can be negative, meaning that as one variable increases, the other decreases.



Examples of Linear Relationship


  • Height and weight: As height increases, weight also tends to increase at a constant rate.

  • Distance and time: As distance increases, time to travel that distance also increases at a constant rate.

  • Temperature and altitude: As altitude increases, temperature tends to decrease at a constant rate.

  • Salary and years of experience: As years of experience increase, salary tends to increase at a constant rate.



Linear Regression

Linear regression is a statistical method used to determine the relationship between two variables. It is used to create a linear equation that best fits the data points on a scatter plot. This equation can then be used to make predictions about the relationship between the two variables.


Linear relationships are important in many fields such as physics, engineering, economics, and finance. Understanding the relationship between two variables can help in making informed decisions and predictions.
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Linear relationship between two variables
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