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vovangra [49]
4 years ago
5

PLEASE HURRY

Mathematics
2 answers:
Dovator [93]4 years ago
6 0

Answer:

c

Step-by-step explanation:

hi

murzikaleks [220]4 years ago
5 0

Answer:d

Step-by-step explanation:

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What is the equations of the line passing through points (-3,7) and (9,-1)?
diamong [38]

Answer:


y = -2/3x + 5 or A.

8 0
3 years ago
Y = 2x2 - 3x - 20?
nikitadnepr [17]
2x² - 3x - 20

40
2 20
4 10
5 8

2x² - 8x       5x - 20
2x(x - 4)      5(x - 4)
(2x + 5) (x - 4)
2x + 5 = 0      x - 4 = 0
2x = -5          x = 4
x = -5/2
C) x = -2.5 and 4
4 0
3 years ago
The equation 2y = 8x represents a proportional relationship. What is the constant of proportionality?
Sphinxa [80]

Answer:

C) 4

Step-by-step explanation:

Given equation:

2y=8x

The above equation represents proportional relationship.

To find the constant of proportionality.

Solution:

<em>The equation representing proportional relationship is given by:</em>

<em>y=kx</em>

<em>where k represents constant of proportionality.</em>

So, in order to find the value of k for the given proportionality relationship, we will solve for y

We have:

2y=8x

Solving for y

Dividing both sides by 2.

\frac{2y}{2}=\frac{8x}{2}

y=4x

∴ k=4

Thus, the constant of proportionality = 4.

4 0
4 years ago
What percent of 126 is 22?
OLEGan [10]

Answer:17.46% hope it helps BRAINLIST PLZZZZ

Step-by-step explanation:

3 0
4 years ago
Read 2 more answers
A regression model is used to forecast sales based on advertising dollars spent. The regression line is y=500+35x and the coeffi
GarryVolchara [31]

Answer:

The correlation between sales and advertising is positive.

Step-by-step explanation:

For every $35 spent on advertising, sales increase by $1

Is FALSE, since y = 500 + 35 x $35, sales increase more than $1

Even if no money is spent on advertising, the company realizes $35 of sales

Is FALSE, if no money is spent, the sales amount to $ 500 (when X = 0)

The coefficient of correlation between sales and advertising is 0.81

Is FALSE, since R² = 0.9. The coefficient of correlation = R = 0.94, not 0.81

4 0
3 years ago
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