Question
The provided dataset Franchises Dataset contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter
The provided dataset "Franchises Dataset" contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter sales (million $), the drive-through sales (million $), the number of customers visiting the business daily, and the type of franchise.
1. Interpret the meaning of the Intercept and the slop of the linear regression model. Interpret the accuracy measure of the model. ( How we can explain )
2. What is the forecast of the net profit, if the counter sales are 500,000 $, drive-through
sales are 700,000$, and the franchise is a pizza store using both models (linear regression
and Random Forest). Comment on the forecasted value.
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