Answer:
Residual = 11.462
Since the residual is positive, it means it is above the regression line.
Step-by-step explanation:
The residual is simply the difference between the observed y-value which is gotten from the scatter plot and the predicted y-value which is gotten from regression equation line.
The predicted y-value is given as 20.7°
The regression equation for temperature change is given as;
y^ = 9.1 + 0.6h
h is the observed amount of humidity and it's given to be 23 percent or 0.23.
Thus;
y^ = 9.1 + 0.6(0.23)
y^ = 9.238
Thus:
Residual = 20.7 - 9.238
Residual = 11.462
Since the residual is positive, it means it is above the regression line.
You should subtract the powers when they are divided and add them when they are multiplied this rule is so important for now you just have to subtract them and you will get the answer
Hope it helps :)
Answer:
The answer is the 3rd one.
Step-by-step explanation:
3 times 3 is 9
4 times 4 is 16
13 is in between those 2 numbers
Answer:
it's giving B.
I can really explain why but it's giving B 5/6 is greater than da amount..
<u>Answer:</u>
240
<u>Step-by-step explanation:</u>
Once you divide, using a calculator if possible, you get the exact solution.
