Answer:
5(n-4)(n+4)
Step-by-step explanation:
given that
5n²-80
first we take common factor.
5(n²-16)
now we use the sum product pattern
5(n²+4n-4n-16)
We take common factor from pairs
5(n(n+4)-4(n+4))
5(n+4)(n-4).
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Your answer is 8/5
If you plug it in, you get:
8/(2+3)
Add the 2 and 3 and you’ll get
8/5
M^2 + 12m + 35
Factored:
(m+5)(m+7)
Check:
(m+5)(m+7)
(m*m) + (m*7) + (5*m) + (5*7)
m^2 + 12m + 35
Hope this helps! :)
Answer:
1. annual tuition 2. $-27139 3. slope = -0.91
Step-by-step explanation:
1. An independent variable is the factor that is not determined by the model in this case the annual tuition variable (the linear regression model factor)
2. substitute $30,000 into the linear regressions equation gives:
y = -0.91(30000) + 161 = -27139
This value tells us that when the annual tuition is $30,000 the average mid-career salary of graduates is predicted to be -$27,139
3. the slope if the regression is represented by the coefficient of the factor in the linear regression model. In this case, as the factor is x or the annual tuition, and the coefficient of this variable in the given example is -0.91 which in turn is the slope of the model.
I would be better to purchase whole onions at $1.99 per pound, and cut them yourself
<h3>Optimization of cost</h3>
Number of bowls = 50
Weight of each bowl = 8
Total weight of the onion soup = 8 x 50 = 400 ounces
Note that:
1 pound = 16 ounces
Total weight in pounds = 400/16
Total weight in pounds = 25 pounds
If you buy the whole onions and purchase at $1.99 per pound
Total cost = 25 x 1.99 = $49.75
If you purchase pre-sliced onions at $2.99 per pound
Total cost = 25 x $2.99 = $74.75
Since it is cheaper to purchase whole onions at $1.99 per pound, it is the better choice
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