Match the term with its definition Coefficient of Determination Standard error Null hypothesis
Homoscedasticity Type I error Type Il error[ Choose ] When the variance of errors are equal The
average distance that the observed values fall from the regression line The assumption that there
is no difference between two objects The rejection of a true null hypothesis The acceptance of a
false null hypothesis Percentage of the total sum of squares that can be explained by the
regression line.
Match the term with its definition Coefficient of Determinat.pdf
1. Match the term with its definition Coefficient of Determination Standard error Null hypothesis
Homoscedasticity Type I error Type Il error[ Choose ] When the variance of errors are equal The
average distance that the observed values fall from the regression line The assumption that there
is no difference between two objects The rejection of a true null hypothesis The acceptance of a
false null hypothesis Percentage of the total sum of squares that can be explained by the
regression line
![Match the term with its definition Coefficient of Determination Standard error Null hypothesis
Homoscedasticity Type I error Type Il error[ Choose ] When the variance of errors are equal The
average distance that the observed values fall from the regression line The assumption that there
is no difference between two objects The rejection of a true null hypothesis The acceptance of a
false null hypothesis Percentage of the total sum of squares that can be explained by the
regression line](https://image.slidesharecdn.com/matchthetermwithitsdefinitioncoefficientofdeterminat-230322025400-543d0287/85/Match-the-term-with-its-definition-Coefficient-of-Determinat-pdf-1-320.jpg)
