Regression analysis > Regression in Minitab

Watch the video or read the steps below:

## How to find Regression in Minitab

Regression is fitting data to a line (Minitab can also perform other types of regression, like quadratic regression). When you find regression in Minitab, you’ll get a scatter plot of your data along with the line of best fit, plus Minitab will provide you with:

- Standard Error (how much the data points deviate from the mean).
- R squared: a value between 0 and 1 which tells you how well your data points fit the model.
- Adjusted R
^{2}(adjusts R^{2}to account for data points that*do not fit*the model).

Regression in Minitab takes just a couple of clicks from the toolbar and is accessed through the Stat menu.

**Example question**: Find regression in Minitab for the following set of data points that compare calories consumed per day to weight:

Calories consumed daily (Weight in lb): 2800 (140), 2810 (143), 2805 (144), 2705 (145), 3000 (155), 2500 (130), 2400 (121), 2100 (100), 2000 (99), 2350 (120), 2400 (121), 3000 (155).

Step 1: **Type your data into two columns in Minitab**.

Step 2: **Click “Stat,” then click “Regression” and then click “Fitted Line Plot.”**

Step 3: **Click a variable name for the dependent value in the left-hand window.** For this sample question, we want to know if *calories consumed* affects *weight*, so calories is the independent variable (Y) and weight is the dependent variable (X). Click “Calories” and then click “Select.”

Step 4: **Repeat Step 3 for the dependent X variable**, weight.

Step 5: **Click “OK.”** Minitab will create a regression line graph in a separate window.

Step 4: **Read the results.** As well as creating a regression graph, Minitab will give you values for S, R-sq and R-sq(adj) in the top right corner of the fitted line plot window.

s = standard error.

R-Sq = Coefficient of Determination

R-Sq(adj) = Adjusted Coefficient of Determination (Adjusted R Squared).

*That’s it!*

**Need help with a homework or test question?** Chegg offers 30 minutes of free tutoring, so you can try them out before committing to a subscription. Click here for more details.

If you prefer an **online interactive environment** to learn R and statistics, this *free R Tutorial by Datacamp* is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try *this Statistics with R track*.

*Facebook page*.