If it is taking averages, the x= 14.5 and y=11.5
or is it showing a relationship, the table indicates that Y is not a function of X
Answer:
B. the variability around the regression line.
Step-by-step explanation:
The standard errors represents the distance (how sparse) the observed values fall from the regression line.
Standard errors for regression are measures of the spread of variables around the average (regression line)
The standard error is dependent on the standard deviation of the observations and the reliability of the test.
When the test is perfectly reliable, the standard error is zero and when unreliable, it is equal to the standard deviation of the observations.
Yes it is. If you convert it to a decimal it will be .8 or .80 (Same thing)
