(f o g)(x) = 2(5x + 1) - 6 = 10x - 4
(g o f)(x) = 5(2x - 6) + 1 = 10x - 29
So (f o g)(x) produces the greatest output.
Answer:
Step-by-step explanation:
the first one
The answer is -225.
9 times -25 is -225.
9*-25=-225
Answer:
At a level of 95%, it is expected that the interval [0.45; 11.59] contains the value of the ductility in steel when its carbon content is 0.5%.
Step-by-step explanation:
Hello!
Considering the dependent variable:
Y: Ductility in steel.
And the independent variable:
X: Carbon content of the steel.
The linear regression was estimated and a prediction interval was calculated.
The prediction interval is calculated to predict a value that the variable Y (response variable) can take for a given value of the variable X (predictor variable) in the definition range of the linear regression line. Symbolically [Y/X=
]
In this case 95% prediction interval for Y/X=0.5
At a level of 95%, it is expected that the interval [0.45; 11.59] contains the value of the ductility in steel when its carbon content is 0.5%.
I hope it helps!
10% of 13 is 1.3 so 13+1.3= 14.3