Simple Linear Regression with Kobra

Simple Linear Regression with Kobra

1. Upload dataset
Download dataset here
Upload the file
In the top right, go to the file upload tab and upload your dataset. If this isn't intuitive, please make a note of it
Load in the dataset

Go to the variables tab and create a variable for data



Set the data variable to a new dataframe – make the filename the same as the dataset you uploaded (the String block is in the text tab)

2. Create X and y variables
Create variables for X and y
Go to the variables tab and create a variable for X and y
Set each variable to one column of the dataframe

Drag out the "Get column" block from the dataframes tab

3. Create scatterplot
Add a scatterplot to the plo

Get this blocks from the plots tab, and add it to your program

4. Click the run button to view your scatterplot (in data visualization tab)

5. Create & Train Linear Regression Model
Create a variable for your linear regression model
Go to the variables tab, and create a variable for a model
Set it to a linear regression model

Drag out the linear regression model from the Linear Regression tab and set model to it



Fit the linear regression model

Drag out the `fit linear regression model` block and fit the model variable



 

6. Make prediction with linear regression
Make a prediction and print it out

Drag out the print block from the text category, and then use the create text block to combine a string saying "Prediction (5 yrs experience)" and your predction



Add in a prediction block, where you're making a prediction with your linear regression model (in linear regression tab)

Full program