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A Regression Analysis Between Weight (Y in Pounds) and Height

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A regression analysis between weight (Y in pounds) and height (X in inches) resulted in the following least squares line: A regression analysis between weight (Y in pounds) and height (X in inches) resulted in the following least squares line:   = 140 + 5X. This implies that if the height is increased by 1 inch, the weight is expected to increase on average by 5 pounds. = 140 + 5X. This implies that if the height is increased by 1 inch, the weight is expected to increase on average by 5 pounds.


Definitions:

Multiple Logistic Regression

A statistical technique that models the probability of a certain outcome or event based on more than one independent variable.

Explanatory Variables

Variables in a statistical model that are believed to explain or influence changes in a response variable.

Standard Deviation

A measure of the dispersion or variability within a set of data points, indicating how spread out the values are from the mean.

Sample Mean

The average value of a sample set of numbers, used as an estimator of the population mean in statistical analysis.

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