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.
There is a strong, positive association
So the first thing you want to do is convert Kelvin's total feet to miles: 3.75 miles
Now, see how many 28.2 seconds and 71.8 seconds are in a one hour.
60 times 60= 3600
3600/28.2=127.659574<span>
3600/71.8=50.1392758
Now you want to multiply their times by the total miles they took.
127.659574 times 1.5= 191.5
50.1392758 times 3.75=188
191.5-188=3.5 miles
Tell me if this helps!!</span>
