The new coordinates are (3, 1)
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:
Step-by-step explanation:
Assuming you are supposed to simplify:
Then we need to apply the product rule of indices.
So we multiply to get:
We now simplify the exponents to get:
Therefore the required product is
Move over 2 decimal places
This would be 38.4%
Answer:
Step-by-step explanation:
Area of a square =
If l = ,
Then area =
HOPE THIS HELPS