Bread is usually fine to eat if you don't see any mold.
Once refrigerated, it will retain its freshness for three to four days before becoming stale. If you want to extend its shelf life, packaged bread will stay fresh for at least three months in the freezer. If you do see mold, however, throw the bread out.
You could do the question the way it is written, but it is far easier to bring the negative power up to the numerator.
y= x^2 - 3. The derivative of that is
dy/dx = 2x The three is a constant and is always dropped when a derivative is taken
d(-3)/dx = 0
If you are a purist and want to solve the question the way it is written, you could do it this way.
dy/dx = d(1)/dx x^-2 - d(x^-2)/dx * 1
======================
(x^-2)^2
dy/dx = - (-2 x^ - 3) / x^-4
dy/dx = 2 x^-3 * x^4
dy/dx = 2 x^(-3 + 4)
dy/dx = 2x ^ 1
dy/dx = 2x <<<<< answer
Because it has already been factored, we can solve it straight away. Now, since m is a variable, we yield the same result if m = 0 or m = 3 because we have two components to this equation.
We can either have m = 0 or m - 3 = 0
Hence, m is either 0 or 3
Answer:
represents the sample proportion of the population
Step-by-step explanation:
From the question we are told that
The sample size is n = 947
The proportion of the population that believes that the Yankees will miss the playoffs this year is ![k = 35\% = 0.35](https://tex.z-dn.net/?f=k%20%3D%2035%5C%25%20%3D%200.35)
From the question we are told the confidence level is 97%
The lower limit of the confidence level is a = 28%
The upper limit of the b = 42%
Generally the sample proportion of this population is mathematically represented as
![\^ p = \frac{a+ b}{2}](https://tex.z-dn.net/?f=%5C%5E%20p%20%3D%20%5Cfrac%7Ba%2B%20b%7D%7B2%7D)
=> ![\^ p = \frac{28 + 42 }{2}](https://tex.z-dn.net/?f=%5C%5E%20p%20%3D%20%5Cfrac%7B28%20%2B%2042%20%7D%7B2%7D)
=> ![\^ p = 35\%](https://tex.z-dn.net/?f=%5C%5E%20p%20%3D%2035%5C%25)
Hence
represents the sample proportion
The value of a = 2.17 and b = 1.95.
<h3>What is regression line?</h3>
A regression line is a graphic representation of the regression equation expressing the hypothesized relationship between an outcome or dependent variable and one or more predictors or independent variables;
y=![2.01*1.93^{x}](https://tex.z-dn.net/?f=2.01%2A1.93%5E%7Bx%7D)
Correlation:
r=0.964
R-squared:
r²=0.9292
Hence, value of a and b is 2.17 and 1.95.
learn more about regression line here:
brainly.com/question/11340674
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