You have been asked to estimate a rough model for how the temperature of an oven increases as it is turned on. You know that the data is exponential, that is: Temperature = exp(kt) where k is a factor yet to be found and t is the time after turning on the oven. The data you are given is: t = np.linspace(0,4,7) data = np.array ( [ 1.1704956 , 2.29395963, 4 25.26297039, 56.59504043, 126.48362913] To get a rough estimate of what the model is, you have decided to guess and check some values for k. These are k = 1.1,1.2,1.3 = Using the skills you have learnt, produce the following plot below: 102 Data Model 1.1 Model 1.2 Model 1.3 Temperature (degrees C] 101 100 0.0 0.5 1.0 1.5 3.0 3.5 4.0 2.0 2.5 Time [min] Hint: to change the scale, look at the relevant documentation Note: all of the plot will be marked, so make sure it matches the above closely! Tutors will also spend a moment looking at your code, marks will be deducted if it doesn't follow the principles in "What makes good code? Intepretability" from T3. In addition, the code should be able to be changed easily to use more guesses if the programmer desires