The Spar in Muscat mall have recently introduced scanners at the checkout counters. The scanners record data on various aspects of a product, for instance, price, number of units sold and whether any...


The Spar in Muscat mall have recently introduced scanners at the checkout counters. The scanners record data on various aspects of a product, for instance, price, number of units sold and whether any promotional activities was carried out for that product or not. In doing so, the Spar management can evaluate whether price and promotional activities (if any) have any effect on sales of a product. Promotional activities are mainly of two types viz



  • flyers distributed outside the store (Flyer) and

  • (ii) in-store displays at the end of an isle that attract a customer’s attention to the said product (Display).


Data was collected on 40 different brand of food & beverage products for the month of May 2019, including sales(Y, number of units sold),


 price (X1, in OMR), flyer (X2, 1 if product was promoted through flyers, 0 if not) and display (X3, 1 if a special display of the product was used, 0 if not).


As a preliminary analysis, a simple linear regression model was fitted to check the effect of price on sales. Part of the R output is given below:























Estimate



Standard Error



Intercept



22.59



13.01



Price



-0.014



0.0056



RSquare = 59.7%.



  1. Test whether sales have a significant linear association with price at 1% significance level.

    1. H0:                            Ha:

    2. Test statistic : t= (-0.014-0) / 0.0056 = -2.5

    3. Based on the p-value (0.0198) obtained, what will you conclude in the context of the problem?





Jun 02, 2022
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