Answer: compare the relative strength of coefficients.
Step-by-step explanation: The Coefficient of determination usually denoted as R^2 is obtained by taking the squared value of the correlation Coefficient (R). It's value ranges from 0 to 1 and the value obtained gives the proportion of variation in the dependent variable which could be attributed to it's correlation or relationship to th independent variable. With a R^2 value close to 1, this means a large portion of Variation in a variable A could be explained due to changes in variable B while a low value signifies a low variance between the variables. Hence, the Coefficient of determination is used in comparing the relative strength of the Coefficients in other to establish whether a weak or strong relationship exist.
A because I know I’m right because I studied a little bit and I got to get it right
1/10 of 3,000
(1/10)(3000/1)
=(1)(3000)/(10)(1)
=3000/10
=300
Each person would get 1 and left overs r in the trash lel
Answer:
option d. 30%
Step-by-step explanation:
Data provided in the question:
Now,
The probability density function of the uniform distribution is given as:
Therefore,
The required probability will be
![P(X](https://tex.z-dn.net/?f=P%28X%3C4.5%29%3D0.3)
or
= 0.3 × 100%
= 30%
Hence,
The answer is option d. 30%