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andreev551 [17]
2 years ago
6

This is very very very confusing!!!! Anyone know 8th grade stuff?

Mathematics
1 answer:
Gala2k [10]2 years ago
3 0

Answer:

yes

Step-by-step explanation:

There are no repeating numbers in the domain

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If 6 chocolates cost $0.93, how much do 22 chocolates cost?
ozzi

I would be $3.41 first you figure out how much one cost by dividing 0.93 by 6 then you multiply your answer by 22

 

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Bob likes to embarrass his students at a rate of 3 students every 2 days. Bob embarrasses his students at a rate of 5 students e
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Step-by-step explanation:

3/2 9/6

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Show all work for each problem. Please show how you estimated your product.<br> 0.12×105
mojhsa [17]

Answer:

12.6

Step-by-step explanation:

The question requires you to estimate the product of 0.12 * 105

12/100 * 105  ----multiply 12 and 105

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Which expression represents the distance between the point (a,0) and (0,5)
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5 0
3 years ago
Method of Least Squares, Evaluation of Cost Equation Lassiter Company used the method of least squares to develop a cost equatio
anyanavicka [17]

Answer:

(1) The cost formula is: <em>y</em> = $19,050 + $12·<em>x</em><em>.</em>

(2) The cost of moving materials if 340 moves are made is $23,130.

(3) 82.81% of the variability in moving cost is explained by the number of moves.

Step-by-step explanation:

The computer output for the regression analysis of 80 data points is as follows:

Intercept:  $19,050

Slope: 12

Coefficient of correlation: 0.91

Standard error:  $220

(1)

The general formula of regression equation is:

<em>y</em> = <em>a</em> + <em>b</em>·<em>x</em>

Here,

<em>a</em> = intercept

<em>b</em> = slope

The cost formula is:

<em>y</em> = $19,050 + $12·<em>x</em>

(2)

Predict the cost of moving materials if 340 moves are made as follows:

y = 19050 + 12\cdot x\\=19050+12\times 340\\=19050+4080\\=23130

Thus, the cost of moving materials if 340 moves are made is $23,130.

(3)

The coefficient of determination R² specifies the percentage of the variance in the dependent variable (Y) that is forecasted or explained by linear regression and the forecaster variable (X, also recognized as the independent-variable).

The coefficient of determination R² can be computed by squaring the correlation coefficient value.

R^{2}=(r)^{2}=(0.91)^{2}=0.8281

Thus, 82.81% of the variability in moving cost is explained by the number of moves.

8 0
4 years ago
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