+22 + +14 + -10 + +10 + -22 + +14 = n

A building worth $829,000 is depreciated for tax purposes by its owner using the straight-line depreciation method.

Delvig [45]

The value of the building would be $699,400 in 4 years.

<h3>What will be the value of the building?</h3>

Depreciation is the when the value of an asset reduces as a result of wear and tear. Straight line depreciation is a method used in depreciating the value of an asset linearly with the passage of time.

The equation that can be used to determine the value of the building with a straight line depreciation is:

Value of the asset = initial value of the asset - (number of months x deprecation rate)

y = 829,000 - 2700x

The first step is to determine the number of months it would take for the building to have a value of $699,400.

$699,400 = 829,000 - 2700x

829,000 - 699,400 = 2,700x

129,600 = 2,700x

x = 129,600 / 2,700

x = 48 months

Now convert, months to years

1 year = 12 months

48 / 12 = 4 years

To learn more about depreciation, please check: brainly.com/question/11974283

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8 0

1 year ago

What is the slope of the line that passes through (5,-4) and (2,2)

maxonik [38]

The slope of this line is -2

4 0

3 years ago

Read 2 more answers

Tyler reasoned "9/25 is equivalent to 18/50 and to 36/100, so the decimal of 9/25 is 0.36" Use long division to decide if Tyler

Sedbober [7]

He statement is true 9/25=0.36

6 0

3 years ago

Read 2 more answers

Which graph represents the solution set of -2y > 7x + 4?

Firdavs [7]

The equation of a line in point-slope form is expressed as:

y = mx + b

m is the slope of the line

b is the y-intercept

Given the inequality -2y > 7x + 4, this can also be expressed as:

-2y > 7x + 4

y < -7/2x -4/2

y< -7/2x - 2

This shows that the line will be a dashed line and cuts the y-axis at y= -2

Learn more on inequality graph here: brainly.com/question/11234618

4 0

2 years ago

The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the height x

Andrew [12]

Answer:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

The value of r is always between $-1 \leq r \leq 1$

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

$r^2 = 0.8^2 = 0.64$

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

Step-by-step explanation:

For this case we know that the correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. And we know that we use the height x of a child to predict the weight y of the child

We need to rememeber that the correlation is a measure of dispersion of the data and is given by this formula:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

The value of r is always between $-1 \leq r \leq 1$

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

$r^2 = 0.8^2 = 0.64$

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

3 0

3 years ago