Panda Motor Berhad collects another set of data that contains the following information. Based on the data, the CEO instructs the company's analyst team to do the following:

1. Construct cross-tabulations of gender versus car type and purchase.
2. Illustrate the results (charts)
3. Explain the findings
4. Develop a two-tailed hypothesis where km/liter is the dependent variable, mileage and vehicle age as the independent variable
5. Test the hypothesis by using Anova, critical-value, and p-value approach. Explain the findings.
6. Find the best regression model to predict km/liter as a function of vehicle age and mileage
7. Based on the analysis in Q1-Q3, recommend one strategy for Panda Motor Berhad.

Table 1 Auto Survey Gender Type		Purchased	Vehicle Age	Mileage	Km/liter
Male	Mid-size	Used	15	127233	28.7
Female	Mid-size	New	1	23970	43.4
Male	Small	New	7	77392	24
Female	Large SUV	Used	14	185397	15.2
Female	Small	New	2	26001	37
Female	Minivan	New	9	180643	20
Male	Small	Used	6	72083	45.7
Male	Small	New	11	165353	42
Male	Small	Used	13	205288	33
Female	Small	New	7	142897	31
Male	Minivan	Used	14	182584	12
Male	Small SUV	Used	13	140479	20
Female	Small	New	2	22114	28
Female	Mid-size	New	0.25	3454	28.3
Female	Large SUV	New	7	130905	21
Female	Small	Used	10	105628	35
Female	Small	New	5	48678	30.4
Male	Mid-size	New	0.5	6849	40.2
Female	Small	Used	10	137941	30
Female	Small SUV	New	4	29823	24.9
Male	Small SUV	Used	14	85763	21
Female	Small	Used	12	134172	31
Male	Mid-size	Used	12	86387	27