22. The coefficient of determination explains the relationship between two variables the proportion of variance in...
22. The coefficient of determination explains
-
the relationship between two variables
-
the proportion of variance in one variable accounted for by another variable and
vice versa
-
the cause–effect relationship between two variables
-
all of the above
23. The ____________ assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line.
a. homoscedasticity b. linearity
c. curvilinearity
d. heterolinearity
24. The strength of a relationship between two variables in correlation is ________________ of the significance testing.
a. highly dependent
b. actually independent (not completely, but mostly) c. highly
independent
d. the obverse
Homework Answers
Ans:
22)
The coefficient of determination explains:
the proportion of variance in one variable accounted for by another variable and vice versa
23)homoscedasticity
The homoscedasticity assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line.
24)
actually independent (not completely, but mostly)
The strength of a relationship between two variables in correlation is actually independent (not completely, but mostly) of the significance testing.
Add Answer to:
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