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2 years ago

If 2 angles are vertical and one angle is 44 degrees,find the other angle?

Mathematics

2 answers:

grandymaker [24]2 years ago

8 0

Answer:

Step-by-step explanation:

Then the other angle must be 44 degrees as well.

ohaa [14]2 years ago

6 0

Answer:

The other angle is also 44 degrees

Step-by-step explanation:

since this is an intersecting line, the one angle will be vertical to x

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What is the value of x. Please show work

HACTEHA [7]

It's x=7/99 or x=0.071

7 0

3 years ago

Write an equation that passes through -2 and 5 and perpendicular to x=7? y=mx+b

GarryVolchara [31]

Answer:

Step-by-step explanation:

I'm going to assume you mean passes through the point (-2,5) since -2 and 5 could mean a lot of different things

To find the perpendicular line's gradient, you would know that m1*m2 = -1

In this case m1 = 7, so m2 must be -1/7

Now we substitute the gradient into the equation

y = -1/7x + b

To find b, we substitute (-2,5) into the equation above

5 = -1/7*-2+b

5 = 2/7 + b

b = 33/7

Therefore the equation of the line is

y = -1/7x+33/7

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2 years ago

A group of hens laid the same number of eggs each day for a week. Kelly collected the eggs for six days. Write an expression to

Sever21 [200]

Number of eggs=6x
Its that simple equation, because if hens laid the same number of eggs each day (and we dont know how much per day, so I put x instead of it) but we know that Kelly collected the eggs for six days we can put there 6.
Finally we obtainted number of eggs =6*x

3 0

3 years ago

I need to find the missing lengths

kondor19780726 [428]

Answer:

Step-by-step explanation:

6 0

2 years ago

Florida reappraises real estate every year, so the county appraiser's Web site lists the current "fair market value" of each pie

PilotLPTM [1.2K]

Answer:

The equation of the least square regression line for predicting selling price from appraised value is:

$\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}$

Step-by-step explanation:

The general form of the least square regression line is:

$y=a+bx$

Here,

y = dependent variable

x = independent variable

a = y-intercept

b = slope

The Minitab output for regressing selling price on appraised value is:

Predictor Coef SE Coef T

Constant 227.0989 95.044 2.389

Appraisal 0.8991 0.133 6.76

S = 88.7959

R-Sq = 76.5%

R-Sq (adj) = 74.9%

The constant term in the regression output represents the y-intercept and the Appraisal coefficient the slope of the regression line.

Then the equation of the least square regression line for predicting selling price from appraised value is:

$\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}$

5 0

3 years ago