The data below shows the minimum wage requirement

of the U. S. government in years, x, after 1960. Based

on the data provided, what would be the best linear

model using your calculator's regression model?

We select the option c.

Step-by-step explanation:

Best Fit Regression Model

Scientists often wonder if there is a relationship between the variables under study. It's a vital matter in modern times where artificial intelligence technology is struggling to find answers where traditional approaches hadn't before.

The most-used tool 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 data was entered into a digital spreadsheet and an automatic function was applied to find the best-fit model.

The automated tool's output was this equation:

That can be rounded to three decimals

We select the option c.

24/56=hx^7

step-by-step explanation:

step-by-step explanation:

use pothagarean therom

a^2+b^2=c^2 so first ac

acm is a right triangle because c= 90°

and am (the hypotenuse or c) =16+9 =25

but there is not enough info we need another angle or side length