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Brilliant_brown [7]
3 years ago
9

What can you conclude from the information in the diagram

Mathematics
2 answers:
mezya [45]3 years ago
3 0

Answer:

go to the doctor

Step-by-step explanation:

uysha [10]3 years ago
3 0
Go to the mall shopping
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Which of the following is an equation of a line that is parallel to y = 4 x + 9 ? (Choose all correct equations.)
babymother [125]

Answer:

The second, third and fourth are parallel to the given equation

Step-by-step explanation:

In order to determine if the slopes are the same, put all of the equations in slope-intercept form:  y = mx + b.  In order for lines in this form to be parallel, the m values of each have to be the exact same number, in our case, 4.  Equation 2 has a 4 in the m position, just like the given, so that one is easy.  Equation 2 is parallel.

Let's solve the third equation for y:

12x - 3y = 6 so

-3y = -12x + 6 and

y = 4x - 2.  Equation 3 is parallel since there is a 4 in the m position.

Let's solve the fourth equation for y:

-20x + 5y = 45 so

5y = 20x + 45 and

y = 4x + 9.  Equation 4 is also parallel since there is a 4 in the m position.

6 0
3 years ago
Select the choice that translates the following verbal phrase correctly to algebra: (2 points)
fgiga [73]
I think its c. because m-7 is difference and + 15 is increasing
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3 years ago
Which characteristic of a data set makes a linear regression model unreasonable?
LiRa [457]

Which characteristic of a data set makes a linear regression model unreasonable?

Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.

If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.

Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.

6 0
3 years ago
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Answer:

its not true the answer is -17 i dont know if thats what your looking for

Step-by-step explanation:

5 0
2 years ago
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