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Sagot :
In regression, the difference between the confidence interval and the prediction interval formula is "The addition of 1 to the quantity under the radical sign i.e., standard error".
What are the formulas for the confidence interval and prediction interval?
The formula for the confidence interval is
[tex]y_h[/tex] ± [tex]t_{(1-\alpha /2,n-2)[/tex] × √(MSE([tex]\frac{1}{n}[/tex] + ([tex]x_h[/tex] - μ)²/∑([tex]x_i[/tex] - μ)²))
The formula for prediction interval is
Prediction interval = Sample estimate ± (t multiplier × standard error)
[tex]y_{new}[/tex] = [tex]y_h[/tex] ± [tex]t_{(1-\alpha /2,n-2)[/tex] × √(MSE(1 + [tex]\frac{1}{n}[/tex] + ([tex]x_h[/tex] - μ)²/∑([tex]x_i[/tex] - μ)²))
Where μ = x bar.
What is the difference between the confidence interval and the prediction interval?
From the above, the prediction interval has one additional MSE term in the standard error calculation. But in the confidence interval, only one term is used.
So, the difference between them occurs in the standard error value.
The formula shows it by adding 1 to the quantity under the radical sign.
Thus, the difference is in the standard error.
Learn more about the confidence and prediction intervals here:
https://brainly.com/question/24245026
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