Answer:
<em>Option c</em>
Step-by-step explanation:
<u>Best Fit Regression Model
</u>
When experimental data is collected, scientists frequently ask themselves if there is a relationship between some of the variables under study. It's crucial in modern times where artificial intelligence technology is trying to find key answers where traditional approaches hadn't before.
One of the most-used tools to find relations between variables is the regression model and its best fit lines to try to find an expression who relates variable x (years from 1960) and variable y (minimum wage requirement) as of our case.
The provided data was entered into a digital spreadsheet and an automatic function was applied to find the best-fit model.
We found this equation:

when rounded to three decimal places, we find

Which corresponds to the option c.
Answer:
left
Step-by-step explanation:
Answer:


Step-by-step explanation:
<u>Solution 3:</u>
Equivalent fractions to are to
be found out.
<u>Method: </u> By Multiplying both the denominator and numerator with the same number, we can easily find equivalent fractions.
1. Multiply with 2:

2. Multiply with 3:

3. Multiply with 4:

If we try to write in variable form, it can be written as:

where x is any number.
---------------
<u>Solution 4:</u>
when 

------------
<u>Solution 5:</u>

Answer:
(a) 0.9412
(b) 0.9996 ≈ 1
Step-by-step explanation:
Denote the events a follows:
= a person passes the security system
= a person is a security hazard
Given:

Then,

(a)
Compute the probability that a person passes the security system using the total probability rule as follows:
The total probability rule states that: 
The value of P (P) is:

Thus, the probability that a person passes the security system is 0.9412.
(b)
Compute the probability that a person who passes through the system is without any security problems as follows:

Thus, the probability that a person who passes through the system is without any security problems is approximately 1.