Answer:
a. 30%
b. $893.59
c.
Step-by-step explanation:
a. Given that the carpet costs $427.35, the labor costs $212.52 and other flooring supplies costs $75.
#To get the percent of the flooring bill that will go towards the cost of labor:
Hence, labor costs 30% of the total flooring costs.
b.The total flooring costs is :
Given that she spends 25% more on furniture than on flooring, we multiply the flooring cost by 125% to get the furniture costs:
Hence, she spends $893.59 on furniture.
c.To get what percentage of furniture cost was the night stand.
-Given the total furniture cost is $893.59:
Let x be the cost of the dresser and y the cost of the nightstand;
The percentage is then calculated as:
Hnece the percentage cost of the night stand is
Answer:
G = (9.4, 9,4)
Step-by-step explanation:
The ratio is applied in the x-distance and the y-distance. The ratio is 2:3 so you have to divide the distances by 5 and 2/5 correspond to FG and 3/5 to GH
x-distance:
x2 - x1 = 16 - 5 = 11
11/5 = 2.2
y-distance:
y2 - y1 = 13 - 7 = 6
6/5 = 1.2
Point G = Point F + (2.2*2, 1.2*2)
Point G = (5, 7) + (4.4, 2.4)
= (9.4, 9.4)
Answer:
The slope of the line is 
and a point on the line is 
Step-by-step explanation:
The general point slope of line passing through 
and having slope as m.
The given equation of the straight line,
Comparing this to the general equation we get the point as and slope as
D because they are 9 ponits between them so the abs are going going to remove the negative
Answer:
The correlation coeffcient for this case was provided:
r =0.934
And this coefficient is very near to 1 the maximum possible value, so then we can interpret that the relationship between the entrace exam score and the grade point average are strongly linearly correlated .
We can also find the 
who represent the determination coefficient and we got:
And the interpretation for this is that a linear model explains appproximately 87.2% of the variability between the two variables
Step-by-step explanation:
Previous concepts
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
And in order to calculate the correlation coefficient we can use this formula:
![r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}](https://tex.z-dn.net/?f=r%3D%5Cfrac%7Bn%28%5Csum%20xy%29-%28%5Csum%20x%29%28%5Csum%20y%29%7D%7B%5Csqrt%7B%5Bn%5Csum%20x%5E2%20-%28%5Csum%20x%29%5E2%5D%5Bn%5Csum%20y%5E2%20-%28%5Csum%20y%29%5E2%5D%7D%7D)
The correlation coeffcient for this case was provided:
r =0.934
And this coefficient is very near to 1 the maximum possible value, so then we can interpret that the relationship between the entrace exam score and the grade point average are strongly linearly correlated .
We can also find the who represent the determination coefficient and we got:
And the interpretation for this is that a linear model explains appproximately 87.2% of the variability between the two variables
