問題文
A data scientist fits a simple linear regression of monthly spend on the number of visits and obtains a slope of 12 and an intercept of 30. Which reading of these numbers is correct?
選択肢
- The model predicts 12 units of spend for every customer, and 30 is the number of visits beyond which the prediction becomes reliable enough to act on.
- Twelve percent of the variation in spend is explained by the number of visits for each customer, and 30 is the average spend in the data.
- Each additional visit causes 12 more units of spend, and 30 is the smallest spend the model can produce.
- Each additional visit is associated with 12 more units of spend on average, and 30 is the fitted spend when the visit count is zero.