Asked by Riley Resnick on May 10, 2024

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Confidence intervals provide information about the unknown values of the true regression coefficients,accounting for sampling error.

Confidence Intervals

Ranges within which a population parameter is estimated to lie with a certain level of confidence, often used to indicate the reliability of an estimate.

Regression Coefficients

Parameters in a regression model that quantify the relationship between the dependent variable and each of the independent variables.

Sampling Error

The discrepancy between the statistical characteristics of a sample and those of the entire population, arising purely from the randomness of the sample selection.

  • Gain insight into the notion of regression analysis, highlighting its aims and basic constituents.
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Tiffany McCormackMay 13, 2024
Final Answer :
True
Explanation :
Confidence intervals are used to estimate the range within which the true population parameter (in this case, the regression coefficient) lies. They take into account the uncertainty due to sampling variability by providing a range of values within which the true parameter is likely to fall, rather than a single point estimate.