Answer: Exact Form: x
=
−
45
/2
Step-by-step explanation:
Isolate the variable by dividing each side by factors that don't contain the variable.
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!
<span>The mean would typically be the best measure of determining the success of this business. Barring the presence of any outlier values, finding the average number of cameras sold per period (week, month, year, etc.) would give a better picture than the range or mode. The median could be used, but it is a bit less descriptive than the median in this instance.</span>

As we know ~
Area of the circle is :

And radius (r) = diameter (d) ÷ 2
[ radius of the circle = half the measure of diameter ]
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<h3>Problem 1</h3>



Now find the Area ~




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<h3>problem 2</h3>



Bow, calculate the Area ~




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<h3>Problem 3 </h3>




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<h3>Problem 4</h3>



now, let's calculate area ~



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<h3>problem 5</h3>



Now, let's calculate area ~




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<h3>problem 6</h3>




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Answer:
the anwser is b
Step-by-step explanation:
divide 27 by 180 and you get an answer of 54