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Ede4ka [16]
3 years ago
7

What is the equation of the following line? Be sure to scroll down first to see

Mathematics
1 answer:
Hoochie [10]3 years ago
3 0

Answer:

y=9x

Step-by-step explanation:

(0,0),(1,9)

when x=0, y=0, means b=0

m is the slope =9

y=9x

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Jaiden has a prepaid phone plan plan (A) that charges 15 cents for each text sent and 10 cents per minute for calls. If jaiden h
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Six divided by.15 is equal to 40
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In a simple regression analysis (where y is a dependent and x an independent variable), if the y-intercept is positive, then it
Rom4ik [11]

Answer:

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}  

\bar x= \frac{\sum x_i}{n}  

\bar y= \frac{\sum y_i}{n}  

And we can find the intercept using this:  

b=\bar y -m \bar x  

On this case the correct answer would be:

E.  none of the above

Since the intercept has no association between the increase/decrease of the dependent variable respect to the independent variable

Step-by-step explanation:

Assuming the following options:

A.  there is a positive correlation between X and Y

B.  there is a negative correlation between X and Y

C.  if X is increased, Y must also increase

D.  if Y is increased, X must also increase

E.  none of the above

If we want a model y = mx +b where m represent the lope and b the intercept

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}  

\bar x= \frac{\sum x_i}{n}  

\bar y= \frac{\sum y_i}{n}  

And we can find the intercept using this:  

b=\bar y -m \bar x  

On this case the correct answer would be:

E.  none of the above

Since the intercept has no association between the increase/decrease of the dependent variable respect to the independent variable

3 0
3 years ago
The mean survivial time after diagnosis for a certain disease is 15 years with a standard deviation of 5 years. Based on a parti
frutty [35]

Answer:

The time the patient expected to survive after diagnosis is 29 years.

Step-by-step explanation:

It is provided that the mean survival time after diagnosis for a certain disease is 15 years with a standard deviation of 5 years.

That is,

\mu=15\\\sigma=5

An individual's predicted survival time is <em>a</em> = 2.8 standard deviations beyond the mean.

Compute the time the patient expected to survive after diagnosis as follows:

X=\mu+a\sigma

    =15+(2.8\times 5)\\\\=15+14\\\\=29

Thus, the time the patient expected to survive after diagnosis is 29 years.

5 0
3 years ago
J is 14 less than 22 as an equation<br> with what j=
Olegator [25]
22 - 14 = 8 

so i think j = 8
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3 years ago
Ricardo bought 6 pounds of peanuts at the local wholesaler for $12. His friend Saniya bought 4 pounds of peanuts at the supermar
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Answer:

ricardo

he payed 2 per pound while she payed 2.50

7 0
3 years ago
Read 2 more answers
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