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:
![y=0.11363x+0.6906](https://tex.z-dn.net/?f=y%3D0.11363x%2B0.6906)
when rounded to three decimal places, we find
![y=0.114x+0.691](https://tex.z-dn.net/?f=y%3D0.114x%2B0.691)
Which corresponds to the option c.
2 feet to 3 yards
i divided both sides by 7
Answer:
ATLANTA — Hank Aaron, the man who broke Babe Ruth’s home run record and went on to hit 755 in his career, now wants to be remembered for something entirely different.
Step-by-step explanation:
Answer:
1,820 trout
Step-by-step explanation:
Set up a proportion where x is the number of trout in the lake:
= ![\frac{x}{6,500}](https://tex.z-dn.net/?f=%5Cfrac%7Bx%7D%7B6%2C500%7D)
Cross multiply and solve for x:
25x = 45,500
x = 1820
So, you could expect 1,820 trout to be in the lake.