When using simple linear regression, we would like to use confidence intervals for the <u>mean y-value</u> and prediction intervals for the <u>individual y-value</u> at a given value of x.
<h3>What is a regression line?</h3>
A regression line is a statistical line that best describes the behavior of a data set. This ultimately implies that, a regression line is a line which best fits a set of data.
<h3>What is a confidence interval?</h3>
A confidence interval can be defined as a range of estimated values that defines the probability that a population parameter would fall or lie within it.
In this context, we can infer and logically deduce that statisticians, mathematicians and researchers alike would use confidence intervals for the <u>mean y-value</u> and prediction intervals for the <u>individual y-value</u> at a given value of x, especially when using simple linear regression.
Read more on linear regression here: brainly.com/question/16793283
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