Question:- A sample of workstations is collected and the MIPS rating and score on a standard benchmark recorded for each machine. A data analyst is interested in predicting benchmark score from MIPS rating and is also interested in making inferences for workstations with a particular MIPS rating. Given an average MIPS rating of 200 with a SD of 50 and an average benchmark score of 1800 with a SD of 300 and given a correlation of -0.8 between MIPS rating and benchmark score. Find the proportion of workstations with a MIPS rating of 300 that had a score of less than 1500 on the benchmark. Make necessary assumptions. Solution:- You should first note that we are interested in predicting benchmark score. Hence, benchmark score must be on the y axis and MIPS rating on the x-axis. Note also that we are interested in workstations with a particular MIPS rating (i.e. 300). STEP 1: Determine the average benchmark score for workstations with a MIPS rating of 300. There are two ways of doing this: 1. Derive the regression equation and plug in 300: b=-0.8(300/50)=-4.8 a=1800-(-4.8(200))=1800+960=2760 Hence: y=2760-4.8(300)=2760-1440=1320 Benchmark score is therefore 1320 for a MIPS rating of 300. 2. You may also arrive at this answer by using the following method: Remember that slope = (rise/run). Since we know that (xbar, ybar) is on the regression line we can compute the rise since the run is 100: rise/100=-0.8(300/50) rise=-480 Hence benchmark score is 1800-480=1320. STEP 2: Determine the SD for these workstations. SD(y|x)=sqrt(1-(-0.8)**2)SD(y) SD(y|x)=sqrt(1-0.64)300 =180 STEP 3: Assume NORMALITY and find the proportion less than 1500. z=(1500-1320)/180=1 Hence 84.14% or approximately 84% of workstations with a MIPS rating of 300 have a score less than 1500 on the standard benchmark.