Which of the following are true of the "linear regression" forecasting method? 1. the data pattern can allow for stationarity. 2. a trend in the data can also be spotted, but that trend must be non-linear. 3. the amount of historical data required is typically in the range of 10-20 observations, though more is generally preferred. 4. a trend in the data can also be spotted, but that trend must be linear. 5. linear regression is the most popular of all forecasting methods. 6. seasonality in the data cannot be accomodated. 7. the forecast horizon can range from short to medium.

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Carla was trying to decide what to do saturday evening. she has $100 available to spend for the evening. she has narrowed her choices down to these events: braves game, a concert of an artist she likes, or the georgia aquarium. admission to the braves game is $25, hot dogs cost $10, sodas cost $5. the concert costs $25 for admission, $20 for a souvernir t-shirt, and $10 for a soda. the georgia aquarium has the show of a lifetime with an all you can eat and drink that costs $100. carla does not want to take any driving chances, so in addition to the cost of the aquarium, she will also need to pay for her uber/lyft, which is $15 each way. which option should carla choose if she wants to spend the least? based on that choice, what then is carla's oppotunity cost? fully explain your answer in at least one paragraph.

When i'm with my factor 5, my prodect is 20 .when i'm with my addend 6' my sum is 10.what number am i