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Alexandra [31]
3 years ago
5

FInd the consumer and producer surplus where p=.00625x^3+100 is the demand function and p=.025x^2+40 is the supply function

Mathematics
1 answer:
iVinArrow [24]3 years ago
3 0

Step-by-step explanation:

you have given wrong meaning of questions

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HELLLLLLLLLLLLLLLLLLLLLP
kkurt [141]

So 10/2 simplified is 5/1 which is on point 5. -9/2 is already simplified so in decimal form it is -4.5 which is -4 1/2, so you go down from 0 and mark it right where the BLUE dot is and the GREEN dot is 5/1. Hope this helps! :)

6 0
3 years ago
Would this be sin, cos, or tan?
Nataly [62]

Answer:

tan

Step-by-step explanation:

its the opposite over adjacent

7 0
3 years ago
Read 2 more answers
The residents of a city voted on whether to raise property taxes. The ratio of yes votes to no votes was 6 to 5. Ir there were 3
Gemiola [76]

Answer:

The total  number of votes was 7,007

Step-by-step explanation:

Let

x -----> the number of yes votes

y -----> the number of no votes

we know that

\frac{x}{y} =\frac{6}{5}

isolate variable y

y=\frac{5}{6}x -----> equation A

x=3,822 -----> equation B

Substitute equation B in equation A and solve for y

y=\frac{5}{6}(3,822)=3,185

therefore

To find out the total number of votes sum the number of yes votes plus the number of no votes

3,822+3,185=7,007

3 0
3 years ago
Read 2 more answers
For a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears. Minitab was used
kkurt [141]

Answer:

Kindly check explanation

Step-by-step explanation:

Given that :

Correlation Coefficient (r) = 0.989

alph=0.05

Number of observations (n) = 8

determine if there is a linear correlation between chest size and weight.

Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.

What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?

To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.

r^2 = square of the correlation Coefficient

r^2 = 0.989^2 = 0.978121

Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.

4 0
3 years ago
Andrew sold $50 less than sarah did and evan sold $25 more than Sarah. these quantities can be communicated symbolically. if x=
aliya0001 [1]
The answer is I think b because it has x-50 and it said Andrew sold less that Sarah so its subtracting
8 0
3 years ago
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