Show commented Jupyter Notebook with outputs, named as Q2.ipynb, in R programming language.

https://colab.research.google.com/drive/1F4cQxxrCwaxvxy3uV_513jZpl2LF-hfw?usp=drive_link

A certain spare part is manufactured, X is the number of parts produced in a month, and Y is the needed man-hours. The following table contains data on the recent 10 month. Month i X@) Y(i) 1 30 73 2 20 50 3 60 128 4 80 170 5 40 87 6 50 108 7 60 135 8 30 69 9 70 148 10 60 132 (a) Draw a scatter plot with horizontal axis X and vertical axis Y (b) Suppose that the manager of the facility suggested the following approximate relation between Yh and X is the equation: Yh(i) = 9.5 + 2.1 X(i) Compute Yh(i) for the given ten X(i)'s () Run a regression model Y= a + bX + error, where a = the intercept and b = the slope. (d) Compute the estimates Yhat(i) = a + bX(i); where a and b are obtained from the model of part (c) for the given ten X(i)'s. (e) Compare the manager model and part (c) model. Which model is better? And why