Answer:
Kindly check explanation
Step-by-step explanation:
Given the data:
Practice throws(X) : 4 10 6 15 0 7 11
Free throws(Y) : 8 23 9 34 5 11 27
Using the online linear regression calculator :
ŷ = 2.1559X + 0.3912
2.1559 = slope
0.3912 = intercept
X = independent variable ; y = dependent variable
The Coefficient of determination (R²) = 0.9506² = 0.9036
Quadratic model : y = 0.0961x²+0.7138x+3.8031
Coefficient of determination(R²) = 0.9739² = 0.9485
Exponential model:
a*b^x
Coefficient of determination (R²) = 0.9753² = 0.9512
The exponential model fits the data best.
A^2 = 4.0^2 + 3.7^3 - 2*4*3.7 cos 334
= 4.865
a = 2.2 to nearest tenth.
The chance that one of the defective components is
or 2.14285714% that the qc person will test a defective unit.
Answer:
He set the factored expressions equal to each other. instead of setting them equal to zero
Step-by-step explanation:
f(x) = x^2 + 4x + 3. His work is shown below.
0 = x^2 + 4x + 3
0 = (x + 3)(x + 1)
Here is where we use the zero product property
x+3 = 0 x+1 =0 We do not set them equal to each other
