Answer:
85000 x 0.03 = 2550 (per year)
2550 x 13 = 33150
85000 + 33150 = 118150
Step-by-step explanation:
Hope that helped! Have a nice day!
A- none because they are parallel lines
Answer:
1 hour and 15 minutes thats how long the documentary was
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.
1/5th off = 20% off
80% = $140
1% = $1.75
100% = $175
Answer is $175
