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:
The selling price be $79.56 .
Step-by-step explanation:
Let us assume that the cost price be x.
As given
If the markup is $8.95 and the overhead is $4.31 .
Selling price = Cost price + Markup price + Overhead price
= x + 8.95 + 4.31
= x + 13.26
Profit = Selling price - Cost price
= x + 13.26 - x
= $ 13.26
Formula
Putting the values in the above formula
x = $ 66.3
Thus cost price be $66.3 .
Thus
Selling price = $66.3 + $13.26
= $ 79.56
Therefore the selling price be $79.56 .