Answer:
The assumption of homoscedasticity is that "<u>the variability of Y doesn't change over the X scores</u>."
Step-by-step explanation:
The assumptions of linear regression are:
- Linear relationship
- Multivariate normality
- Almost 0 mulitcollinearity
- 0 Autocorrelation
- Homoscedasticity
The assumption of homoscedasticity implies that the variance of the dependent variable <em>Y</em>, across the regression line does not changes for all values of the predictor variable <em>X</em>.
Thus, the complete statement is:
The assumption of homoscedasticity is that "<u>the variability of Y doesn't change over the X scores</u>."
Answer:
The answer is option A.
Step-by-step explanation:
If both equations are graphed side by side, will produce same figure.
Answer:
RQ and YT are the correct answers.
Answer:
I think it's c. (76,108)
Step-by-step explanation:
because 76+108 = 184 - half of which is the mean
so c. is more likely