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3 years ago

Find the value of x. х 50°

Mathematics

1 answer:

xenn [34]3 years ago

6 0

Answer:

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Step-by-step explanation:

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Write an inequality for the given statement:the sum of x and 25 is less than 75

tiny-mole [99]

Answer:

$x + 25 < 75$ ; $x < 50$

Step-by-step explanation:

The inequality says the sum of x and 25 (written as x + 25) is less than (<) 75.

The inequality is written as: $x + 25 < 75$

My work for solving the inequality is in the picture.

4 0

2 years ago

Find the slope of the line that passes through the pair of points. (3,-3), (3,-4)

Ivan

The slope of this line is undefined as it is a vertical line.

Hope this helps.

5 0

2 years ago

You have just opened a new dance club, Swing Haven, but are unsure of how high to set the cover charge (entrance fee). One week

aliya0001 [1]

Answer:

$q = -6p + 104$

Step-by-step explanation:

Linear function:

A linear function has the following format:

$q = mp + b$

In which m is the slope and b is the q-intercept.

One week you charged $4 per guest and averaged 80 guests per night. The next week you charged $10 per guest and averaged 44 guests per night.

This means that we have these following points: (4,80), (10,44).

Finding the slope:

With a pair of points, the slope is given by the change in q divided by the change in p.

Change in q: 44 - 80 = -36

Change in p: 10 - 4 = 6

Slope: $m = \frac{-36}{6} = -6$

$q = -6p + b$

Finding b:

We replace one of the points. Replacing (4,80).

$q = -6p + b$

$80 = -6*4 + b$

$b = 104$

$q = -6p + 104$

7 0

3 years ago

The data set represents a progression of hourly temperature measurements.Use the regression equation to predict the temperature

zimovet [89]

I will attach google sheet that I used to find regression equation.
We can see that linear fit does work, but the polynomial fit is much better.
We can see that R squared for polynomial fit is higher than R squared for the linear fit. This tells us that polynomials fit approximates our dataset better.
This is the polynomial fit equation:
$T(h)=20.2-3.6h-0.875h^2$
I used h to denote hours. Our prediction of temperature for the sixth hour would be:
$T(6)=20.2-3.6(6)-0.875(6)^2=-32.9$
Here is a link to the spreadsheet (<span>https://docs.google.com/spreadsheets/d/17awPz5U8Kr-ZnAAtastV-bnvoKG5zZyL3rRFC9JqVjM/edit?usp=sharing)</span>