Legit Category-Manager Exam Download

The correct answer is B .

Regression analysis is used to understand how a dependent variable changes in relation to one or more independent variables. In pricing analytics, that usually means analyzing how sales, units, profit, or demand respond to price or other business drivers. The CPCM pricing material identifies correlation and price regression analysis as methods used to evaluate historical pricing and project future sales and profit at specific price points. CMKG also lists advanced pricing analytics as including breakeven point, correlation, price regression, ABC, and slope.

Option A is wrong because calculating an average is descriptive statistics, not regression. Option C is too strong because regression can show relationships or associations, but it does not automatically prove causation. NIST’s regression explanation specifically warns that cause-and-effect cannot necessarily be inferred from regression alone. Option D is wrong because classification belongs to classification models or supervised learning classification tasks, not standard regression analysis.

The correct answer is C .

Reducing SKU count can lower operational complexity because fewer items generally mean fewer products to order, receive, stock, count, replenish, manage, and maintain in the system. The CPCM course identifies Efficient Assortment as the analytical process behind product assortment and also teaches Retailer Economics and the Product Supply Chain , including the drivers of a retailer’s financial statement and the retail math calculations tied to business results.

The real-world operating logic is straightforward: unnecessary SKUs create handling work, shelf complexity, replenishment complexity, inventory carrying cost, and execution burden. SKU rationalization is commonly used to reduce complexity, lower handling costs, improve shelf utilization, and increase operational efficiency.

Option A is wrong because SKU count clearly affects operational workload. Option B is the opposite of the correct answer; reducing SKUs normally decreases complexity rather than increasing it. Option D is incomplete because assortment simplification may help shoppers, but the question specifically asks about labor and OPEX.

The correct answer is D .

Household penetration measures how many households bought the product, brand, category, or product group during the measured period. CMKG explains the panel-data formula as Total Number of Buying Households, or Penetration, multiplied by Spend per Buying Household equals Dollar Sales . It further explains that penetration relates to the number of households purchasing the product.

Option A describes purchase quantity or items per household, not penetration. Option B describes share of wallet or share of requirements-type spending allocation, not household penetration. Option C describes category dollar sales, not the breadth of the buyer base.

Household penetration is a reach measure. It tells whether the category is bought by many households or only by a narrow group of households.

The correct answer is C .

Cross-purchase behavior means understanding what shoppers buy alongside or across other categories. It helps category managers identify related categories, basket-building opportunities, adjacency decisions, promotion links, and shopper missions. CMKG explains that panel data helps understand shopping households, purchase behaviors, who they are, where they shop, what they buy, and “what else they buy.” CMKG also lists “Combination Purchasing” as one of the diagnostic analyses available through household panel data.

That directly supports option C. Cross-purchase analysis is not mainly about buying across retailers, months, or channels. Those are different shopper analytics views. Across retailers would relate more to leakage, channel switching, or retailer share. Month-to-month behavior is trend or frequency analysis. Across channels is omnichannel/channel-shifting analysis. The phrase cross-purchase points specifically to how shoppers buy across categories or related products.