One assumption underlying linear regression is that the Y values are statistically dependent. This means that in selecting a sample, the Y values chosen, for a particular X value, depend on the Y values for any other X value. A. True
B. False

The statement provided is TRUE.

Step-by-step explanation:

The four principle assumptions of the simple linear regression model are,

The linearity of the relationship between the dependent variable and the independent variable.  That is, value of y, the dependent variable for each value of x the independent variable is, . Normality of the error distribution. That is, .  Thus, the variance of random error e is . Statistical independence of the errors or specifically no correlation between consecutive errors.  That is, if , it implies that. Homoscedasticity of the errors, i.e. constant variance.

The first assumption clearly indicates that the y-values are statistically dependent upon the x-values.

Thus, the statement provided is TRUE.

It’s 8.99 for john hub b