Answer : <span>10797060.8144
</span>2545.24 x 4242.06 = <span>10797060.7944
</span>10797060.7944 + 2/100 = 10797060.8144
C: none of these are solutions to the given equation.
• If<em> y(x)</em> = <em>e</em>², then <em>y</em> is constant and <em>y'</em> = 0. Then <em>y'</em> - <em>y</em> = -<em>e</em>² ≠ 0.
• If <em>y(x)</em> = <em>x</em>, then <em>y'</em> = 1, but <em>y'</em> - <em>y</em> = 1 - <em>x</em> ≠ 0.
The actual solution is easy to find, since this equation is separable.
<em>y'</em> - <em>y</em> = 0
d<em>y</em>/d<em>x</em> = <em>y</em>
d<em>y</em>/<em>y</em> = d<em>x</em>
∫ d<em>y</em>/<em>y</em> = ∫ d<em>x</em>
ln|<em>y</em>| = <em>x</em> + <em>C</em>
<em>y</em> = exp(<em>x</em> + <em>C </em>)
<em>y</em> = <em>C</em> exp(<em>x</em>) = <em>C</em> <em>eˣ</em>
Its 12,400
happy to help :)
Answer:
Absenteeism significantly increases cost.
Step-by-step explanation:
We are given the following in the question:
The Sensor Dynamics Corporation did a scientific study on the impact of absenteeism on increased costs.
The correlation between the two was found to be 0.7
Correlation:
- It is a measure of linear relationship between two quantities.
- A positive correlation means that an increase in one quantity leads to an increase in another quantity
- A negative correlation means with increase in one quantity the other quantity decreases.
- Values between 0 and 0.3 tells about a weak positive linear relationship, values between 0.3 and 0.7 shows a moderate positive correlation and a correlation of 0.7 and 1.0 states a strong positive linear relationship.
Thus, we can say that there is a high positive correlation between absenteeism and cost.
Thus, absenteeism significantly increases cost.
Answer:
The table in blue
Step-by-step explanation:
