temp+model

**Problem Number One-Temperature Model**
Create an annual temperature model using the sine or cosine function for a city of your choice. Fully explain the components of your model, compare the prediction from your model to the actual temperature from the data set you used and include a use of your temperature model. Your model should include the graph and the function models your data.

New York, New York

 * January || 32 °F ||
 * February || 34 °F ||
 * March || 43 °F ||
 * April || 53 °F ||
 * May || 63 °F ||
 * June || 72 °F ||
 * July || 77 °F ||
 * August || 76 °F ||
 * September || 69 °F ||
 * October || 58 °F ||
 * November || 48 °F ||
 * December || 37 °F ||



For our temperature model, we found the annual temperatures for New York, New York and we listed them in the data chart. The numbers 1-12 represent the months and the larger numbers represent the average temperature for that month in degrees Fahrenheit. We plugged in our data from our data chart to graph the temperatures. The numbers on the x-axis represents the months and the numbers on the y-axis represents the temperatures. The red dots on the graph represent the actual temperature from the data chart. The line represents the equation we used to predict the temperatures. As you can see, the actual temperatures are very close to the prediction equation. You can use the temperature model to predict any further temperatures.