We know that
<span>Joey and Rita paint a room in 8 hours
so
100%----------> 8 hours
X%----------> 1 hour
x=100/8-----> 12.5%
that means
</span>Joey and Rita paint 12.5% of a room in 1 hour
Billy paint a room in 12 hours
so
100%----------> 12 hours
X %------------> 1 hour
x=100/12----> x=8.33 %
that means
Billy paint 8.33% of a room in 1 hour
i<span>f all three work together
then
All three paint (12.5%+8.33%) in 1 hour
20.83%------------> 1 hour
100%------------> x
x=100/20.83-----> x=4.8 hours
the answer is
4.8 hours</span>
The slope of a graph is base on the rise over run of the line connected by the points which composed of an X and Y coordinate. The rise of the line is its Y and the Run is X. Base on the assigning of variables of its x and y value, the slope is calculate by dividing the weeks by its test so the answer is 3 over 4 or 0.75
Answer:

Where t is the number of months since the population was first recorded. And we want to find the population after 36 months so we need to replace t=36 months into the function and we got:

So then we can conclude that after 36 months the population of mouse is between 1385 and 1396.
Step-by-step explanation:
We know that the population can be represented with this formula:

Where t is the number of months since the population was first recorded. And we want to find the population after 36 months so we need to replace t=36 monthsinto the function and we got:

So then we can conclude that after 36 months the population of mouse is between 1385 and 1396.
Answer:
4
Step-by-step explanation:
ln e ^4
Natural log and e are opposites so they cancel and leave
4
Answer:An increase in visitors is correlated with an increase in sales.
Step-by-step explanation:
From the given scatter plot we can see that variables are positively correlated because they are moving in the same direction.
Since we know that the positive correlation is a relationship between two variables such that they increase or decrease together.
Since, the two variables given her is " number of visitors" and "Total sales"
Therefore, based on the given data it can be observed that "An increase in visitors is correlated with an increase in sales."