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.
Is your question true or false?
2abc - 3ab = -30? if a =2, b = -3 and c= 4
plug in
2(2)(-3)(4) - 3(2)(-3) = -30
Simplify
-48 + 18 = -30
-30 = -30
Both sides are equal so
It's true.
Answer:
The function is negative for all real values of x where
x < –3 and where x > 1.
Step-by-step explanation:
This quadratic function is downward parabola.
It's root are -3 and 1.
Quadratic is positive between -3 and 1.
And negative on R-(-3,1).
Answer:
im sorry man im just here for points
Step-by-step explanation:
The answer is 6300 degrees