I have question 1 can anyone help with the rest of this problem? I WILL RATE. Need ASAP. Thank you all!

Winter Spring Summer Fall 2013 37.7 54.4 77.5 59 2014 29.5 56. 8 78.3 56.7 2015 32. 9 58. 7 78.7 | 62.6 2016 3 9.8 59.8 81.2 64. 4 2017 40.1 60.3 79.4 6 1 2018 34.1 56.1 80.1 57.7 1. Draw, by hand, a detailed scatter diagram (with proper scales and labels) of the data using reference numbers on the x-axis (i.e., let 1 = winter 2013, 2 = spring 2013, 3 = summer 2013,..., 24 = fall 2018). What pattern would you expect the data to follow? 2. Use a graphing utility to find a model that fits the data (i.e., find the sinusoidal function of best fit). Graph the model on top of your scatter diagram. Comment of whether the model appears to be a good fit. 3. What is the amplitude of your model? What is the amount of vertical shift in your model? Use these values to calculate the approximate maximum and minimum seasonal mean temperatures for St. Louis. 4. Use the calculator's minimum and maximum features to estimate the maximum and minimum seasonal mean temperatures for St. Louis. How do these values compare to those calculated in part 3? 5. What is the period of the graph of your model? (Be sure to show how you calculated the value.) Why does this value make sense? 6. What does your model predict for the mean temperature for St. Louis in spring 2019? Winter Spring Summer Fall 2013 37.7 54.4 77.5 59 2014 29.5 56. 8 78.3 56.7 2015 32. 9 58. 7 78.7 | 62.6 2016 3 9.8 59.8 81.2 64. 4 2017 40.1 60.3 79.4 6 1 2018 34.1 56.1 80.1 57.7 1. Draw, by hand, a detailed scatter diagram (with proper scales and labels) of the data using reference numbers on the x-axis (i.e., let 1 = winter 2013, 2 = spring 2013, 3 = summer 2013,..., 24 = fall 2018). What pattern would you expect the data to follow? 2. Use a graphing utility to find a model that fits the data (i.e., find the sinusoidal function of best fit). Graph the model on top of your scatter diagram. Comment of whether the model appears to be a good fit. 3. What is the amplitude of your model? What is the amount of vertical shift in your model? Use these values to calculate the approximate maximum and minimum seasonal mean temperatures for St. Louis. 4. Use the calculator's minimum and maximum features to estimate the maximum and minimum seasonal mean temperatures for St. Louis. How do these values compare to those calculated in part 3? 5. What is the period of the graph of your model? (Be sure to show how you calculated the value.) Why does this value make sense? 6. What does your model predict for the mean temperature for St. Louis in spring 2019