Answer:
(2, 13)
Step-by-step explanation:
Since they both equal y, you can equal them to each other.
8x - 3 = 2x + 9
Subtract 2x from both sides.
6x - 3 = 9
Add 3 to both sides.
6x = 12
Now divide 6 on both sides.
x = 2
Now that we have found x, we need to find y. Just plug in x to the equations.
y = 2(2) + 9
y = 4 + 9
y = 13
Now, if the next equal has the same y, then both are true.
8(2) -3 = y
16-3=y
13 = y
So therefor, both x and y are true.
-5(x+7)<-10.
You need to use the distributive property.
-5x - 35 < -10.
You need to cancel out -35, so you add it to itself, & -10.
-5x < 25.
You need to divide -5 by itself & 25.
x>-5.
we have: -10/4 = -2.5 ⇒ -2 > -2.5 > -3
ANSWER : -2 and -3
ok done. Thank to me :>
This can be calculated using the formula:
P = L((r/n)*(1 + r/n)^(n*t))/((1 + r/n)^(n*t) - 1)
Where:
L = 4759
r = 0.209
n = 12
t = 3
So plugging in our data:P = 4759((0.209/12)*(1 + 0.209/12)^(12*3))/((1 + 0.209/12)^(12*3) - 1)
Which will give us the amount of: $179.05 is the monthly repayments.
Other info:
Total interest:$1,686.80
Total cost:$6,445.80
Answer:
Hence the answer is option c ; poverty and neighborhood conditions
Step-by-step explanation:
From the research, it is well known that both the dependent variable and independent variable will be taken into consideration before arriving at a conclusion.
A dependent variable is the variable that is been studied or measured i.e the results of a scientific research.
An independent variable is a variable that is been altered or controlled for and whose effects are compared to the results of the dependent variable, as such the results of a dependent variable is dependent on the alteration of the parameters of an independent variable.
From the question ; the dependent variable is sample of 707 individuals from a single community while the independent variable ; the number of hours each individual spent watching television during adolescence and early adulthood.
The word confound in statistics implies a variable which has a greater effects on both the dependent and the independent variable.
Hence the answer is option c ; poverty and neighborhood conditions
