In complete two or more sentences, determine the appropriate model for the given data and explain how you made your decision. (1
,0), (2,1.5), (5,2.5), (8,3)
2 answers:
Answer:
The model for the given point is
Step-by-step explanation:
Given : Data (1,0), (2,1.5), (5,2.5), (8,3).
To find : Determine the appropriate model for the given data?
Solution :
Data (1,0), (2,1.5), (5,2.5), (8,3).
We plot the data points on the graph and get the best fit line using trend line of the function.
Using regression calculator,
The function has a logarithmic behavior so the best line which represent the data is given by
and the value of R² i.e. correlation coefficient is given by
which is approximately equal to 1 gives you the best fit line.
Therefore, The model for the given point is
Refer the attached figure below.
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<span>Number line refers to a mathematical process of
solving the equation with the use of lines.
=> 235 + 123
Starting from 0 you count 1 up to 235. Then starting from 235 you additionally count another 123.
Then from zero start counting the total number to the line you stopped when adding 123 to 235.
This simply equals to
=> 235 + 123
=> 358.
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=> 235 + 123
Starting from 0 you count 1 up to 235. Then starting from 235 you additionally count another 123.
Then from zero start counting the total number to the line you stopped when adding 123 to 235.
This simply equals to
=> 235 + 123
=> 358.
Pls. see attached image for illustration of number line.</span>Answer here
Because the random variable x follows a continuous uniform distribution from x=1 to x=5, therefore
p(x) = 1/4, x=[1, 5]
The value of p(x) ensures that the total area under the curve = 1.
The conditional probability p(x > 2.5 | x ≤ 4) is the shaded portion of the curve. Its value is
p(x > 2.5 | x ≤4) = (1/4)*(4 - 2.5) = 0.375
Answer: 0.375
p(x) = 1/4, x=[1, 5]
The value of p(x) ensures that the total area under the curve = 1.
The conditional probability p(x > 2.5 | x ≤ 4) is the shaded portion of the curve. Its value is
p(x > 2.5 | x ≤4) = (1/4)*(4 - 2.5) = 0.375
Answer: 0.375