A0130036Y
Method 1: Box Plot
The question asks if Road Handling is part and parcel of Practicality, i.e. whether road handling is an essential component influencing/affecting another data group, practicality. Thus, road handling is taken to be the independent variable, x, and is ranked from the lowest to the highest score. The data is split into 5 groups, Group 1 and 5 containing the lowest-ranked and highest-ranked road handling scores, respectively.
Group 1 2 3 4 5
Median 4.58 4.585 4.455 4.475 4.51
Mean 4.566 4.5775 4.477 4.437 4.46
The lower median and mean practicality values for Groups 3, 4 and 5, compared to Groups 1 and 2, suggests that cars with better road handling tended to be less practical, though the curvilinear relationship illustrated …show more content…
Cars are ranked according to a comprehensive set of criteria; but data analysis reveals that the average scores/rankings of car models have no conclusive effect on its recent sales, let alone its year-to-date sales (which partially comprises recent sales), thus the effect on car sales should be measured against specific independent components, such as road handling and reliability. To generate higher car sales revenue, companies can divide its car models into high-end and low-end categories, as high- and low-income consumers are observed to have different criteria for car-selection. For road handling scores below 4.49, car sales fall with better road handling. A possible explanation is that automobile companies charge significantly higher prices for car models for improved road handling features. Customers who buy car models in this lower road handling score range are observed to be more price-sensitive, not valuing the quality of the road handling feature that much. They are likely to be first-time car buyers, who do not pay as much attention to the car’s minor details, or those that are less wealthy. Companies should not allocate so many resources towards improving road handling features for car models that cater to these lower-income/first-time car consumers; instead, it should focus on providing affordable cars to increase demand. But when car models have a road handling score above 4.49, better road handling features positively influence car sales significantly, indicating that this customer group values better quality cars (with superior features) over cheaper prices. This customer group is probably wealthier and can afford to pay the price difference for enhanced road handling features, so the company can allocate more resources towards improving road handling features for car models that these consumers usually buy,
Method 1: Box Plot
The question asks if Road Handling is part and parcel of Practicality, i.e. whether road handling is an essential component influencing/affecting another data group, practicality. Thus, road handling is taken to be the independent variable, x, and is ranked from the lowest to the highest score. The data is split into 5 groups, Group 1 and 5 containing the lowest-ranked and highest-ranked road handling scores, respectively.
Group 1 2 3 4 5
Median 4.58 4.585 4.455 4.475 4.51
Mean 4.566 4.5775 4.477 4.437 4.46
The lower median and mean practicality values for Groups 3, 4 and 5, compared to Groups 1 and 2, suggests that cars with better road handling tended to be less practical, though the curvilinear relationship illustrated …show more content…
Cars are ranked according to a comprehensive set of criteria; but data analysis reveals that the average scores/rankings of car models have no conclusive effect on its recent sales, let alone its year-to-date sales (which partially comprises recent sales), thus the effect on car sales should be measured against specific independent components, such as road handling and reliability. To generate higher car sales revenue, companies can divide its car models into high-end and low-end categories, as high- and low-income consumers are observed to have different criteria for car-selection. For road handling scores below 4.49, car sales fall with better road handling. A possible explanation is that automobile companies charge significantly higher prices for car models for improved road handling features. Customers who buy car models in this lower road handling score range are observed to be more price-sensitive, not valuing the quality of the road handling feature that much. They are likely to be first-time car buyers, who do not pay as much attention to the car’s minor details, or those that are less wealthy. Companies should not allocate so many resources towards improving road handling features for car models that cater to these lower-income/first-time car consumers; instead, it should focus on providing affordable cars to increase demand. But when car models have a road handling score above 4.49, better road handling features positively influence car sales significantly, indicating that this customer group values better quality cars (with superior features) over cheaper prices. This customer group is probably wealthier and can afford to pay the price difference for enhanced road handling features, so the company can allocate more resources towards improving road handling features for car models that these consumers usually buy,