Asked by Ethan Belka on Apr 28, 2024
Verified
A least squares regression line
A) can be used to predict a value of y if the corresponding x value is given.
B) implies a cause-and-effect relationship between x and y.
C) can only be determined if a good linear relationship exists between x and y.
D) ensures that the predictions of y outside the range of the values of x are valid.
Least Squares Regression Line
A straight line that minimizes the sum of the squared differences between the observed and theoretical values.
Predict
To make an educated guess about the outcome of an event based on current information or data analysis.
- Comprehend the constraints and uses of regression analysis in forecasting.
Verified Answer
NO
Nathan OxleyMay 01, 2024
Final Answer :
A
Explanation :
A least squares regression line can be used to predict a value of y if the corresponding x value is given. It is a way of describing the relationship between two variables in a linear fashion and can be used for making predictions within the range of observed x values. However, it does not imply a cause-and-effect relationship between x and y, and predictions outside the range of observed x values may not be as reliable.
Learning Objectives
- Comprehend the constraints and uses of regression analysis in forecasting.
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