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Likurg_2 [28]
3 years ago
10

A company has 6582 to give out in bonuses. An amount is to be given out equally to each of 32 employees A manger Jake has reason

ed that since 32 goes into 64 twice each employee will get about 2000 is his estimate correct why or why not?
Mathematics
2 answers:
Umnica [9.8K]3 years ago
8 0

Answer:

yup other guy is correct

Step-by-step explanation:

just olya [345]3 years ago
5 0

Answer:

His estimate is not correct

Each employee gets 205.6875

Step-by-step explanation:

Bonus to give out = 6582

Number of employees to get bonus = 32

Bonus per employee = Total bonus / number of employees

= 6582 / 32

= 205.6875

Each employee will get 205.6875 contrary to manger Jake reasoning of 2000 per employee

manger Jake reasoning

6572 / 32

32 in 65 = 2 remainder 1

He added 000 zeros to 2 which is wrong

He should have added 00 zeros to 2 because he has 172 remaining after dividing 65 by 32

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Multiplying and Dividing Integers<br><br> (-8) x (-6) =
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Find the linear regression equation for the transformed data. x=1,2,3,4,5 y=13,19,37,91,253 log y=1.114,1.279,1.568,1.959,2,403
Talja [164]

Answer:

The answer is OPTION (D)log(y)=0.326x+0.687

<h2>Linear regression:</h2>

It is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y)

The Linear regression equation for the transformed data:

We transform the predictor (x) values only. We transform the response (y) values only. We transform both the predictor (x) values and response (y) values.

(1, 13) 1.114

(2, 19) 1.279

(3, 37) 1.568

(4, 91) 1.959

(5, 253) 2.403

X            Y           Log(y)

1              13           1.114

2             19         1.740

3             37        2.543

4             91        3.381

5            253      4.226

Sum of X = 15

Sum of Y = 8.323

Mean X = 3

Mean Y = 1.6646

Sum of squares (SSX) = 10

Sum of products (SP) = 3.258

Regression Equation = ŷ = bX + a

b = SP/SSX = 3.26/10 = 0.3258

a = MY - bMX = 1.66 - (0.33*3) = 0.6872

ŷ = 0.3258X + 0.6872

The graph is plotted below:

The linear regression equation is  log(y)=0.326x+0.687

Learn more about Linear regression equation here:

brainly.com/question/3532703

#SPJ10

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4.9:13.1

Step-by-step explanation:

V=4/3*pi*r^3

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40 points. Factor the following polynomial.
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Answer:

A

Step-by-step explanation:

49y² - x² ← is a difference of squares and factors in general as

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49y² - x²

= (7y)² - x²

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