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Paha777 [63]
3 years ago
5

Elevator 1 Moved Up 10 Feet From the ground level its position is labeled as +10 elevator to move down 5 feet from the ground le

vel and position is labeled as
Mathematics
1 answer:
pashok25 [27]3 years ago
8 0

0 + 10 = 10

10-5= 5

The answer is 5

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A geologist found a cubic foot block of ore containing iron and gold. The geologist knows that iron weighs 500 pounds per cubic
Rom4ik [11]

Answer:

https://www.scribd.com/document/220049145/treyouna-harris-writing-linear-equations-in-standard-form-google-docs

This might help.

Step-by-step explanation:


5 0
3 years ago
HELP ASAP
beks73 [17]
D=dollars earned
T=time spent painting the fence.

(1,5) (2,10) (3,15)

D=5T
3 0
3 years ago
Read 2 more answers
The figure below shows a graph of the function of f(x) in the coordinate plane
Lana71 [14]

Answer:I think one is x

Step-by-step explanation:

4 0
2 years ago
I need help doing this.
melisa1 [442]

Answer:

6.63

Step-by-step explanation:

6.63324958071

the hundredth spot is the first 3, so you go to the second 3, because its under 5, the second 3 stays the same and doesn't round up to 4.

3 0
3 years ago
Raquel throws darts at a coordinate grid centered at the origin. Her goal is to create a line of darts. Her darts actually hit t
lora16 [44]

Answer:

The line of best fit

y = 0.633x + 0.561

Step-by-step explanation:

The coordinates that the dart hit include

(–5, 0), (1, –3), (4, 5), (–8, –6), (0, 2), and (9, 6)

The x and y coordinates can be written as

x | y

-5|0

1 | -3

4|5

-8|-6

0|2

9|6

So, running the analysis on a spreadsheet application, like excel, the table of parameters is obtained and presented in the first attached image to this solution.

Σxᵢ = sum of all the x variables.

Σyᵢ = sum of all the y variables.

Σxᵢyᵢ = sum of the product of each x variable and its corresponding y variable.

Σxᵢ² = sum of the square of each x variable

Σyᵢ² = sum of the square of each y variable

n = number of variables = 6

The scatter plot and the line of best fit is presented in the second attached image to this solution

Then the regression analysis is then done

Slope; m = [n×Σxᵢyᵢ - (Σxᵢ)×(Σyᵢ)] / [nΣxᵢ² - (∑xi)²]

Intercept b: = [Σyᵢ - m×(Σxᵢ)] / n

Mean of x = (Σxᵢ)/n

Mean of y = (Σyᵢ) / n

Sample correlation coefficient r:

r = [n*Σxᵢyᵢ - (Σxᵢ)(Σyᵢ)] ÷ {√([n*Σxᵢ² - (Σxᵢ)²][n*Σyᵢ² - (Σyᵢ)²])}

And -1 ≤ r ≤ +1

All of these formulas are properly presented in the third attached image to this answer

The table of results; mean of x, mean of y, intercept, slope, regression equation and sample coefficient is presented in the fourth attached image to this answer.

Hope this Helps!!!

7 0
3 years ago
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