how to creat r output for simple linear regression equation

Any number of predictor variables can be selected, but the target variable should not also be a predictor variable. A predictor variable is also known as a feature or an independent variable. Select the predictor variables: Select the data to use to influence the value of the target variable.A target variable is also known as a response or dependent variable.

Select the target variable: Select the data to be predicted.No other special characters are allowed, and R is case sensitive. Model names must start with a letter and may contain letters, numbers, and the special characters period (.) and underscore (_). Model name: Enter a name for the model to identify the model when it is referenced in other tools.The advantage of using the RevoScaleR based function is that it allows much larger (out of memory) datasets to be analyzed, but at the cost of additional overhead to create an XDF file and the inability to create some of the model diagnostic output that is available with the open source R functions. If the input data comes from either an XDF Output tool or XDF Input tool, then the RevoScaleR rxLinMod function is used for model estimation. If the input data is from an Alteryx data stream, then the open-source R lm function and the glmnet and cv.glmnet functions (from the glmnet package) is used for model estimation.

How to creat r output for simple linear regression equation