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3 years ago

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Mathematics

2 answers:

enot [183]3 years ago

7 0

What’s the question?

nikklg [1K]3 years ago

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What’s the question?

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What is the scientific notation for 92100<br>

Marina CMI [18]

Answer:

9.21*10^4

Step-by-step explanation:

7 0

3 years ago

24 is 33 1/3% of what number

Ber [7]

the answer is 72

let me know if you need an explanation

5 0

3 years ago

How much time is between 9:25am then return home at 7 :10pm

torisob [31]

Answer: the answer is 9 hours 45 minutes

6 0

3 years ago

Use the given data to find a regression line that best fits the price-demand data for price p in dollars as a function of the de

Rufina [12.5K]

Answer:

$m=-\frac{7600}{8250}=-0.921$

Nowe we can find the means for x and y like this:

$\bar x= \frac{\sum x_i}{n}=\frac{550}{10}=55$

$\bar y= \frac{\sum y_i}{n}=\frac{1042}{10}=104.2$

And we can find the intercept using this:

$b=\bar y -m \bar x=104.2-(-0.921*55)=104.707$

So the line would be given by:

$y=-0.921 x +104.707$

Step-by-step explanation:

For this case we have the following data given:

Demand (x): 10,20,30,40,50,60,70,80,90,100

Price (y): 141 , 133,126, 128,113,97, 90, 82,79,53

We want to construct a linear model like this:

$y = mx +b$

For this case we need to calculate the slope with the following formula:

$m=\frac{S_{xy}}{S_{xx}}$

Where:

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}$

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}$

So we can find the sums like this:

$\sum_{i=1}^n x_i =550$

$\sum_{i=1}^n y_i =1042$

$\sum_{i=1}^n x^2_i =38500$

$\sum_{i=1}^n y^2_i =115882$

$\sum_{i=1}^n x_i y_i =49710$

With these we can find the sums:

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=38500-\frac{550^2}{10}=8250$

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}=49710-\frac{550*1042}{10}=-7600$

And the slope would be:

$m=-\frac{7600}{8250}=-0.921$

Nowe we can find the means for x and y like this:

$\bar x= \frac{\sum x_i}{n}=\frac{550}{10}=55$

$\bar y= \frac{\sum y_i}{n}=\frac{1042}{10}=104.2$

And we can find the intercept using this:

$b=\bar y -m \bar x=104.2-(-0.921*55)=104.707$

So the line would be given by:

$p(x)=-0.921 x +104.707$

4 0

3 years ago

The table below shows the lowest temperature, in degrees fahrenheit, on each of 5 days. What is is mean lowest temperature, in d

Yuki888 [10]

Answer: -7

Step-by-step explanation:

To calculate mean , the formula is given by:-

$Mean=\frac{\text{Sum of all observations }}{\text{Number of all observations}}$

From the given values of temperature in the table.

The sum of temperature in degrees Fahrenheit, in the city for those 5 days is given by $S=-36+(-25)+12+(-4)+18=-36-25+12-4+18\\\Rightarrow\ S=-35$

The number of days N = 5

So the mean lowest temperature, in degrees fahrenheit, in the city for those 5 days is given by:-

$Mean=\frac{S}{N}=\frac{-35}{5}=-7$

3 0

3 years ago

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