Linear regression with the same X value

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In a linear regression with a constant X value, the model will yield a vertical line represented by X = C. Since X does not vary, it cannot effectively explain the variability in Y, which can take on different values. Consequently, while coefficients can be calculated, the regression will not provide meaningful insights into the relationship between X and Y. The lack of variability in the independent variable limits the model's explanatory power. Therefore, a linear regression in this scenario is not statistically useful.
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In a linear regression with 1 independent variable, if X is always the same (let's call I am unlucky), but Y present different values for the same X, I still can find the coefficient of the straight line equation?
 
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xeon123 said:
In a linear regression with 1 independent variable, if X is always the same (let's call I am unlucky), but Y present different values for the same X, I still can find the coefficient of the straight line equation?

The straight line would be parallel to the Y-axis, so it would be X = C where C is the one value of X.
 
If there is no variability in X, then X is certainly not going to do a very good job of explaining variability in Y.
 
Thread 'How to define a vector field?'

Thread 'How to define a vector field?'

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