A retail outlet wants to distinguish between the two brands (labelled brand 1 and brand 2) of a product sold by using in

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

A retail outlet wants to distinguish between the two brands (labelled brand 1 and brand 2) of a product sold by using in

Post by answerhappygod »

A Retail Outlet Wants To Distinguish Between The Two Brands Labelled Brand 1 And Brand 2 Of A Product Sold By Using In 1
A Retail Outlet Wants To Distinguish Between The Two Brands Labelled Brand 1 And Brand 2 Of A Product Sold By Using In 1 (82.05 KiB) Viewed 14 times
A retail outlet wants to distinguish between the two brands (labelled brand 1 and brand 2) of a product sold by using income (xl) and household size (x2) as classification variables. The data that were collected are shown below. x2 brand 1 4 1 1 1 1 x1 168 214 173 184 232 211 145 x2 3 2 4 1 1 1 1 brand 2 2 2 2 2 2 2 2 2 2 3 4 5 2 6 7 2 5 4 x1 173 154 143 145 174 167 139 124 153 133 1 189 7 1 1 1 2 2 1 178 193 6 1 1 4 The sample mean vectors for brands 1 and 2 and the pooled estimate of the variance- covariance matrix are -102.25) 4.8 - 102.25 22.05 *: = (12.5%). 8 = (1505) and Spur = (4164,3 8z 712 = (4) 2.1 By making use of the above information, calculate the equation of the linear discriminant function that can be used to classify observations as brand 1 or brand 2. 1 2.2 The first 2 observations under brand 1 and the first observation under brand 2 in the above table are x1 x2 3 168 214 173 2 4 By making use of your linear discriminant function in part 1, classify each of these 3 cases as brand 1 or brand 2 observations. Show all calculations. (10) 2.3 The following table of classification counts according to brands was obtained from an R program. actual/classified 1 2 2 2 1 8 21 21 8 2.3.1 What percentage of cases was correctly classified? ( (1) 2.3.2 What percentage of cases that should have been brand 2 was incorrectly classified as brand 1? (1)
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply