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.
Isolate the variable by dividing each side by factors that don't contain the variable. p=q/2r
Answer:
0.00783874
Step-by-step explanation:
7/893= 0.00783874
I just put it in the calculator
All you have to do is add up all the numbers and divide by the amount of numbers there are so in this case 4
