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TEA [102]
3 years ago
5

Sal's total profit on lunch specials for the next month is $1,593. The profit amounts are the same: $2 for each sandwich and $3

for each wrap. In a paragraph of at least three complete sentences, explain how the graphs of the functions for the two months are similar and how they are different.
Mathematics
1 answer:
Yanka [14]3 years ago
5 0

Both still have the same profit. $2 for sandwiches and $3 for wraps. The only reason why there is a difference in the total amount is the change in number of sandwich or wrap sold in a given month. Therefore, next month's total sale is higher than last month's total sale making it safe to assume that the sale of sandwich or wrap is higher than last month's sale.

{hope this helps}

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Verify the identity. cot x / 1 + csc x = csc x - 1 / cot x
svetlana [45]

Step-by-step explanation:

cot x / (1 + csc x)

Multiply by conjugate:

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Distribute the denominator:

cot x (1 − csc x) / (1 − csc²x)

Use Pythagorean identity:

cot x (1 − csc x) / (-cot²x)

Divide:

(csc x − 1) / cot x

5 0
3 years ago
Regarding the violation of multicollinearity, which of the following description is wrong?
MA_775_DIABLO [31]

Complete question is;

Regarding the violation of multicollinearity, which of the following description is wrong?

a. It changes the intercept of the regression line.

b. It changes the sign of the slope.

c. It changes the slope of the regression line.

d. It changes the value of F-tests.

e. It changes the value of T-tests

Answer:

a. It changes the intercept of the regression line

Step-by-step explanation:

Multicollinearity is a term used in multiple regression analysis to show a high correlation between independent variables of a study.

Since it deals with independent variables correlation, it means it must be found before getting the regression equation.

Now, looking at the options, the one that doesn't relate with multicollinearity is option A because the intercept of the regression line is the value of y that is predicted when x is 0. Meanwhile, multicollinearity from definition above does in no way change the intercept of the regression line because it doesn't predict the y-value when x is zero.

7 0
3 years ago
100 POINTS!!!!
Sveta_85 [38]
Hey there! Sorry no one is answering! Definitely B!!
6 0
3 years ago
The line of best fit for a set of data is y = 19.3232 – 0.7334x. What is the approximate x-value where the y-value is 15.654
Nana76 [90]

Answer:

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Step-by-step explanation:

8 0
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Crazy boy [7]

Answer:

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Step-by-step explanation:

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8 0
3 years ago
Read 2 more answers
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