8 is constant
6 is co efficient
N is variable
Answer: -x + 4y
Step-by-step explanation:
-3(2x-y) + 2y+2(x+y)
-6x + 3y + 2y + 2x + 2y
-6x + 2x +3y + 2y + 2y
-6x + 5x + 4y
-x + 4y
Answer:
Kindly check explanation
Step-by-step explanation:
Given the data:
Age(x)
7
8
5
8
8
7
7
7
9
8
5
8
6
5
8
Height (Y)
47.3
48.8
41.3
50.4
51
47.1
46.9
48
51.2
51.2
40.3
48.9
45.2
41.9
49.6
The estimated regression equation:
ŷ = 2.73953X + 27.91395
Where ;
X = independent variable
ŷ = predicted or dependent variable
27.91395 = intercept
C.) To obtain the variation in sample values of height estimated by the model, we obtain the Coefficient of correlation:
Using the online pearson correlation Coefficient calculator :
The correlation Coefficient is 0.9696.
which means that the regression model estimated in part (b) explains approximately (0.9696 * 100) = 96.96% = 97% of the variation in the height in the sample.
Answer:

Step-by-step explanation:
We can see that the denominators are not the same. You cannot do that when adding or subtracting fractions.
So you must LCD (Least common denominator)
Multiply the denominators to get LCD:

So our denominators are 50.
Now we do crisscross multiplication:



Simplify:

