A " linear regression" is a model to describe the linear relationship between two variables. The output of a linear regression are an intercept and a coefficent for each explanatory variable. For example, using the Superstore.xlsx data, regressing the outcome variable "Profit" on the explanatory variable "Discount" reveals that the Intercept coefficient is "67.56" and the Discount coefficient is "-249.06".

Please briefly describe the meaning of each of the coefficients (i.e., the Intercept and Discount) and your prediction of the Profit for a sale with a 0% discount and a 10% discount.