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On the Least Squares Regression Line Estimated Y= 2 -

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On the least squares regression line Estimated y= 2 - 3x, the predicted value of y equals: A.1.0 when x=1.0.                                            B.1.0 when x=1.0.C.5.0 when x=1.0.D.5.0 when x=1.0.\begin{array}{|l|l|}\hline A.& -1.0~ when~ x=-1.0.~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\\\hline B.& 1.0~ when~ x=1.0.\\\hline C.& 5.0~ when~ x=-1.0.\\\hline D.& 5.0~ when~ x=1.0.\\\hline \end{array}


Definitions:

Standard Deviation

A measure of the dispersion or spread of a set of values, showing how much variation there is from the average (mean).

Range

The difference between the largest and smallest values in a set of data.

Variance

A measure of variability that describes the spread of a data set or distribution.

Standard Deviation

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

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