Answer:
a)59.125, b)67.5, c)None
Step-by-step explanation:
Mean = All values added up and divided by the number of values

Median = Put all numbers in order from least to most and use the middle one, if there are two, use the mean of those two
. The middle ones are 60 & 75 so 
Mode = The number that repeats more times. In this case none of them repeat.
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:
-5 + (8 x -7)
using PEMDAS, (8 x -7) = -56
so -5 + -56 = -61
Answer: 196pi in.^2
Step-by-step explanation:
Divide the diameter by two.
You would get 14, then square it, you would get 196.