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.
5x5x5=125 so it could be x=5
<span>a. y = x^2 – 81 is a quadratic function.
According to the definition:
A quadratic function is defined as a function with the maximum coefficient of 2.Only first option has a coefficient of 2 and the rest have not.</span>
Answer:
after 2 months the total cost will be the same.
Step-by-step explanation:
21+20x=27+17x subtract 17x on both sides because its the lowest coefficient
20x- 17x = 3x 17x-17x= cancel out
subtract 21 on both sides because its the lowest number
21-21= cancel out. 27-21=6
divide the coefficient by both sides
3x/3= x
6/3= 2
x=2