Business, 14.12.2021 23:50 cchotshot

True or False The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable.
The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.
The slope of the simple linear regression equation represents the average change in the value of the dependent variable per unit change in the dependent variable (Y).
A significant positive correlation between X and Y does not imply that changes in X cause Y to change.
The correlation coefficient is the ratio of explained variation to total variation.
When using simple regression analysis, if there is a strong correlation between the independent and dependent variable, then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable.

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