Answer:
i honestly dont know its tooooo hard
Step-by-step explanation:
You can use any numbers for the Y you figure out you points. :)
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!
Answer:
x^2 - 9x + 20
Step-by-step explanation:
(x - 4)(x - 5) (have to do the opposite for it to be positive)
FOIL method: X x X = x^2
-5 x X = -5x
-4 x X = -4x
x^2 - 5x - 4x + 20
-5 - 4 = -9 so...
x^2 - 9x +20 is the answer
Answer:
C is a constant ( a value that doesn't change)
Step-by-step explanation:
for example (X^2), here x is a variable with an exponent. (8x), here 8 is a coefficient. making c a constant.