# Linear Regression On The Calculator Common Core Algebra 1 Homework Answers !!HOT!!

## Linear Regression On The Calculator Common Core Algebra 1 Homework Answers

Linear regression is a statistical method that allows you to find the equation of the line that best fits a set of data with two variables, such as height and weight, or time and distance. Linear regression can help you understand how the two variables are related and make predictions based on the data.

## Linear Regression On The Calculator Common Core Algebra 1 Homework Answers

If you are taking Common Core Algebra 1, you may have to solve linear regression problems in your homework. But how do you do that using your calculator? And how do you check your answers using your calculator? In this article, we will show you how to use your calculator to perform linear regression and find the equation of the line of best fit, the correlation coefficient, and the coefficient of determination. We will also give you some tips and tricks to avoid common mistakes and improve your accuracy.

## How to Perform Linear Regression on Your Calculator

The first step to perform linear regression on your calculator is to enter the data into two lists. You can use any two lists, such as L1 and L2, but make sure they have the same number of elements. To enter data into a list, press STAT and then select EDIT. Then use the arrow keys to move to the list you want to use and enter the data one by one, pressing ENTER after each entry.

For example, suppose you have the following data on the number of hours studied and the test scores of 10 students:

HoursScore

265

475

685

370

580

790

160

895

9100

10105

You can enter the hours into L1 and the scores into L2 as follows:

The next step is to create a scatter plot of the data. A scatter plot is a graph that shows how the two variables are related by plotting each pair of data as a point. To create a scatter plot on your calculator, press 2ND and then Y=. This will take you to the STAT PLOT menu. Then select Plot1 and turn it ON. Choose the scatter plot icon (the first one) and select L1 for Xlist and L2 for Ylist. You can also choose a mark for your points, such as a dot or a square.

For example, to create a scatter plot of the hours and scores data, you can set up Plot1 as follows:

To view the scatter plot, press ZOOM and then select 9:ZoomStat. This will adjust the window settings to fit your data. You should see something like this:

The scatter plot shows that there is a positive linear relationship between hours studied and test scores. The more hours a student studies, the higher their score tends to be.

The final step is to find the line of best fit for the data. The line of best fit is the line that minimizes the sum of squared errors between

the actual data points and

the predicted values on

the line.

To find

the line of best fit on your calculator,

press STAT

and then select CALC.

Then choose 4:LinReg(ax+b)

and enter L1,L2,Y1 after it.

This will perform linear regression on L1

and L2

and store

the equation of

the line in Y1.

For example,

to find

the line of best fit for

the hours and scores data,

you can enter LinReg(L1,L2,Y1) as follows:

The calculator will display

the equation of

the line in slope-intercept form (y=ax+b),

where a is

the slope

and b is

the y-intercept.