<em>situation</em><em> </em><em>=</em><em> </em><em>condition</em><em>.</em>
<em>gratitude</em><em> </em><em>=</em><em> </em><em>appreciation</em><em>.</em><em>.</em><em>.</em>
The answer for your question is that when h have 12 logs then you add 11 then you get 6 more it is 29
Hi!!Could you please explain your question more?
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.
