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Answer:
Inverse variation k=4
Step-by-step explanation:
we know that
A relationship between two variables, x, and y, represent an inverse variation if it can be expressed in the form 
or 
In this problem
The graph represent a inverse variation
Because
if x increases ----> y decreases
if x decreases ----> y increases
Find the value of k
we have that
For x=2, y=2 -----> see the graph
substitute
Answer:
The perimeter of the image is 144 inches
Step-by-step explanation:
we know that
If two figures are similar, then the ratio of its perimeters is equal to the scale factor
so
The perimeter of the image is equal to the perimeter of the pre-image multiplied by the scale factor
Answer:
y + 2 = -(x-4)
Step-by-step explanation:
Here, we want to match the graph with the correct equation
the equation is generally in the form
y = mx + c since it is a straight line
Let’s start with c which is the y- intercept
c = 2 from the graph
Let’s find value of the slope using the end points
The end points at top and at bottom are as follows respectively;
(-8,10) and (10,-8)
So the slope is ; y2-y1/x2-x1 and that is ;
-8-10/(10-(-8) = -18/18 = -1
So the complete form of the line would be;
y = -1(x) + 2
y = -x + 2
or simply y = 2-x
So which of the options fit this answer?
That would be;
y+ 2 = -(x-4)
This can be written as;
y + 2 = -x + 4
y = -x + 4-2
y = -x + 2
Answer:
We use students' t distribution therefore degrees of freedom is v= n-2
Step-by-step explanation:
<u>Confidence Interval Estimate of Population Regression Co efficient β.</u>
To construct the confidence interval for β, the population regression co efficient , we use b, the sample estimate of β. The sampling distribution of b is normally distributed with mean β and a standard deviation σ.y.x / √(x-x`)². That is the variable z = b - β/σ.y.x / √(x-x`)² is a standard normal variable. But σ.y.x is not known so we use S.y.x and also student's t distribution rather than normal distribution.
t= b - β/S.y.x / √(x-x`)² = b - β/Sb [Sb = S.y.x / √(x-x`)²]
with v= n-2 degrees of freedom.
Consequently
P [ - t α/2< b - β/Sb < t α/2] = 1- α
or
P [ b- t α/2 Sb< β < b+ t α/2 Sb] = 1- α
Hence a 100( 1-α) percent confidence for β the population regression coefficient for a particular sample size n <30 is given by
b± t α/2 Sb
Using the same statistic a confidence interval for α can be constructed in the same way for β replacing a with b and Sa with Sb.
a± t α/2 Sa
Using the t statistic we may construct the confidence interval for U.y.x for the given value X0 in the same manner
Y~0 ± t α/2(n-2) SY~
Y~0= a+b X0
