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Sauron [17]
3 years ago
9

What is the answer too 2(4w-1)=-10(w-3)+4

Mathematics
1 answer:
Advocard [28]3 years ago
5 0

Answer:

w = 2

Step-by-step explanation:

 2(4w - 1) = -10(w - 3) + 4

 8w - 2 = -10w + 30 + 4

 8w - 2 = -10w + 34

+10w       +10w

18w - 2 = 34

      +2     +2

<u>18w</u> = <u>36</u>

18       18

w = 2

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What is the sum of the first 7 terms of the geometric series:<br><br> -8 + (-4) + (-2) + 1 + 1/2+...
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Can some please answer this
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9514 1404 393

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  B  (2 violet)

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Read 2 more answers
A new pizza restaurant uses paid advertisement to increase pizza sales on Mondays. The table below is a record of the restaurant
Fiesta28 [93]

Answer:

Part A:

Find the attached

Part B:

y = 23.875x + 279.625

Part C:

Total Sales increase from one week to the next by $23.875. Therefore, it is true to say that the paid advertisement is responsible for the restaurant's increase in pizza sales during the first quarter.

Part D:

The restaurant's sales for the Monday of the 20th week is expected to be $757.13

Step-by-step explanation:

Part A:

The scatter-plot can be obtained from stat-crunch by following the given steps below;

The first step is to enter the data given into any two adjacent columns of Stat-crunch application.

Next, click on Graph then Scatter plot

In the pop-up window that appears, select the week column as the X variable and the Total Sales column as the Y variable

Click Compute. Stat-crunch returns the scatter-plot as shown in the attachment below.

Part B:

The total sales for week 5 is given as 399 while that of week 13 is 590. Therefore, we shall determine the equation for the line of best fit using the points;

( 5, 399) and ( 13, 590)

The first step would be to determine the slope of this line;

slope = (590 - 399)/ (13 - 5)

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The equation of the line in slope-intercept form is thus;

Sales = 23.875(Week) + c

We need to determine c, the y-intercept. We can use the point ( 5, 399);

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The equation of the line of best fit is thus;

y = 23.875x + 279.625

Part C:

The slope of the equation for the lines of best fit was found to be 23.875. This value is positive which implies that the Total Sales increase from one week to the next by $23.875. The slope in regression is defined as the change in y for every unit change in x.

Therefore, it is true to say that the paid advertisement is responsible for the restaurant's increase in pizza sales during the first quarter.

Part D:

The equation  for the line of best fit was found to be;

y = 23.875x + 279.625

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Y = 23.875(20) + 279.625

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Therefore, the restaurant's sales for the Monday of the 20th week is expected to be $757.13

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