Answer:
250 batches of muffins and 0 waffles.
Step-by-step explanation:
-1
If we denote the number of batches of muffins as "a" and the number of batches of waffles as "b," we are then supposed to maximize the profit function
P = 2a + 1.5b
subject to the following constraints: a>=0, b>=0, a + (3/4)b <= 250, and 3a + 6b <= 1200. The third constraint can be rewritten as 4a + 3b <= 1000.
Use the simplex method on these coefficients, and you should find the maximum profit to be $500 when a = 250 and b = 0. So, make 250 batches of muffins, no waffles.
You use up all the dough, have 450 minutes left, and have $500 profit, the maximum amount.
What kind of question is this lol ? i don’t even understand it
The rage of the function is x=-6
Answer:
The expected change in reaction time for a 1°F increase in temperature is 4.39 hours.
The expected change in reaction time for a 8°F increase in temperature is 4.32 hours.
Step-by-step explanation:
The simple linear regression line is used to determine the changes in the dependent variables when the independent variable is changed.
The general form of the simple linear regression line is:

The simple linear regression model for the reaction time of a certain chemical process based on the temperature (°F) in the chamber in which the reaction takes place is:

Here,
<em>y</em> = reaction time (in hours)
<em>x</em> = temperature (°F)
Compute the expected change in reaction time for a 1°F increase in temperature as follows:


The expected change in reaction time for a 1°F increase in temperature is 4.39 hours.
Compute the expected change in reaction time for a 8°F increase in temperature as follows:


The expected change in reaction time for a 8°F increase in temperature is 4.32 hours.