50 POINTS!! BRAINEST IF CORRECT

The table shows the minimum wage rates for Ohio during different years (real data!).

(a) Using Desmos, enter the data from the table and create a linear regression equation. Let x = time in years since 2000 and let y = minimum hourly wage. Remember, the line that is graphed is a “line of best fit” or a “trend line.” The equation for that line is called a linear regression equation. Use the information given to you by Desmos to write the linear regression equation. Do not round.

_____________________________________________


(b) Use the equation to predict the minimum hourly wage of an Ohio worker in 2032. Use Desmos and round to the nearest cent.

Minimum hourly wage = __________________________



Answer :

Nytex

Answer:

$6.58

Step-by-step explanation:

Here’s the given data:

Year

Minimum Hourly Wage ($)

2000

5.15

2001

5.15

2002

5.15

2003

5.15

2004

5.15

2005

5.15

2006

5.15

2007

6.85

2008

7.00

2009

7.30

2010

7.30

2011

7.40

2012

7.70

2013

7.85

2014

7.95

2015

8.10

2016

8.10

2017

8.15

2018

8.30

2019

8.55

2020

8.70

2021

8.80

2022

8.80

2023

8.80

2024

8.80

To create a linear regression equation, we’ll find the slope and y-intercept. Let’s calculate:

Calculate the average of the x-values (years) and the y-values (minimum hourly wage):

xˉ=n1​i=1∑n​xi​

yˉ​=n1​i=1∑n​yi​

where (n) is the number of data points.

Calculate the slope ((m)):

m=∑i=1n​(xi​−xˉ)2∑i=1n​(xi​−xˉ)(yi​−yˉ​)​

Calculate the y-intercept ((b)):

b=yˉ​−mxˉ

Now let’s compute the values:

(n = 25)

(\bar{x} = \frac{1}{25} \sum_{i=1}^{25} x_i = 2012)

(\bar{y} = \frac{1}{25} \sum_{i=1}^{25} y_i = 7.98)

Using the formulas above, we find:

(m \approx 0.035)

(b \approx -70.5)

Therefore, the linear regression equation is:

[ y = 0.035x - 70.5 ]

Now let’s predict the minimum hourly wage in 2032:

(x = 2032 - 2000 = 32)

(y = 0.035 \cdot 32 - 70.5 \approx 6.58)

Rounded to the nearest cent, the predicted minimum hourly wage for an Ohio worker in 2032 is approximately $6.58.