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!
That would be simplified into
1.41 • 1.73 • 2.82 = 6.9
i don’t know what the choices are bc you didn’t put them but hopefully this does someone some good <3
3x-10+x+8=90
4×-2=90
4x=92
X=23
One angle is 31. 23+8
The second one is 59. 3 (23)-10
I need the following...
4y+24 would be the answer
--v---v
4(y+6) ... To get rid of parenthesis, simply multiply 4 by y, and 4 by 6.
4y+24 is the answer.
The answer is the you need to know is 100