The R Square Value Is Very Important Because It Tells

question 66

True/False

The R Square value is very important because it tells us how well our regression line fits the scatter of data points.It may range from 0 to +1.00 because it is the square of the correlation coefficient,which may range from -1.00 to +1.00.

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Definitions:

Coefficient Alpha

A statistical measure used to assess the reliability or internal consistency of a test or scale.

Kuder-Richardson

A set of formulas used to assess the reliability of binary (e.g., true/false, yes/no) scored tests or items within tests.

Low Validity

refers to the situation where a test does not accurately measure what it is supposed to measure, indicating a weak relationship between test scores and the intended construct.

Item Characteristic Curve

A graphical representation that shows the probability of a respondent answering a test item correctly at different levels of ability.