answer these two questions in 1-2 paragraphs.
1. We learned how to establish linear relationships between variables. How can we determine relationships that are not necessarily linear?
2. Imagine a situation in which a quantitative forecasting model generated from a time series that results in a very low forecasting error is contradicted by an expert. The quantitative model indicates that demand for LED TVs will grow by 13% in 12 months, while the expert suggests that growth will be in the 30% range. You need to place orders for your store now. How do you react?
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