# Multiple Linear Regression in R

Contents

### Math model

1 | Y = a1*X1 + a2*X2 + a3*X3 + ... + an*Xn + b |

`Y`

and `X`

are known, `a`

and `b`

will be calculated.

### Data processing

Input `Y`

and `X`

to Rstudio.

1 | # build multiple regression model |

Build the model. `lm()`

take thes the known `Y`

and `X`

as arguments, `lm(Y ~ X1 + X2 + ... + Xn)`

.

1 | model = lm(GRDP~LANDU_21+LANDU_22+LANDU_23+LANDU_24, data = df) |

Model application.

1 | test = read_excel("your_test_data.xlsx") |