Question: Q 1: a) Guide to develop with a scatter plot and simple linear regression model. Interpret the model. b) What will be the predictive sales

The petrol station does operate a retail section. Sales have been encouraging.

Q 1:
a) Guide to develop with a scatter plot and simple linear regression model. Interpret the model.
b) What will be the predictive sales if intends to expand another retail station store that carries 100 merchandise?
c) Explain Decision Tree Matrix as one effective decision making. Justify it.
d) Based on the data above, what is the objective decision based on the Estimated Monetary Value using the Decision Tree Matrix?

Q 2:
Based on the scenario in our workplace and company, explain (1) a situation where data analytics has been effectively used.

Show a few examples where possible. In addition, identify (1) gap for the improvement.

The petrol station does operate a retail section. Sales have been encouraging. He wanted to develop a regression between several merchandises towards sales revenue. Table 2 shows the data. Revenue (RM"000) 5 8.5 102.4 9.3 156.5 6.6 4.3 5.2 8.5 7.4 No 1 2 3 4 5 6 7 8 9 10 Merchandise 75 125 157 142 164 57 48 78 88 120 In addition, he intends to evaluate the option of expanding to another petrol station or refurbishing the existing five petrol stations after considering the payoff and cost of investment as the environment of business is still uncertain. The chances of good economic grow and slow economic growth are approximately 40% and 60% respectively. Table 3 shows the data. Option 1 Refurbished Cost Estimated Revenue Option 2 Expand 1 new store Cost Estimated Revenue Good Economy RM (million) 4.6 8.8 9.5 10.8 Slow Economy RM (million) 4.6 3.6 9.5 4.2

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