Answer the following questions:
- According to the linear model provided, if a diamond is 1 carat heavier than another with the same cut and clarity, how much more should we expect to pay? Why? ○ We should expect to pay more because the prediction taking from the historical data.
- If you were interested in a 1.5 carat diamond with a Very Good cut (represented by a 3 in the model) and a VS2 clarity rating (represented by a 5 in the model), how much would the model predict you should pay for it? ○ The price can be predicted from the following equation Price = -5,269 + 8,413 x Carat + 158.1 x Cut + 454 x Clarity
Make sure to plot and include the visualizations in this report. For example, you can create graphs in Excel and copy and paste the graphs into this Word document.
- Plot 1 - Plot the data for the diamonds in the database, with carat on the x-axis and price on the y-axis. o
- Plot 2 - Plot the data for the diamonds for which you are predicting prices with carat on the x-axis and predicted price on the y-axis. o Note : You can also plot both sets of data on the same chart in different colors. o I will skip this question and the one below till I learn more with the next lessons.
- What strikes you about this comparison? After seeing this plot, do you feel confident in the model’s ability to predict prices?
Answer the following questions:
- What price do you recommend the jewelry company to bid? Please explain how you arrived at that number. HINT: The number should be 7 digits. ○ Currently, I am not sure how to answer this question accurately, but I with the coming lessons I will be.