{"id":616,"date":"2021-04-04T07:26:20","date_gmt":"2021-04-04T07:26:20","guid":{"rendered":"https:\/\/bcisnotes.com\/fourthsemester\/?p=616"},"modified":"2021-04-04T07:26:20","modified_gmt":"2021-04-04T07:26:20","slug":"data-analysis-and-modelling-spring-2015-pokhara-university-bba-bi-bcis-bba-tt","status":"publish","type":"post","link":"https:\/\/bcisnotes.com\/fourthsemester\/data-analysis-and-modelling-spring-2015-pokhara-university-bba-bi-bcis-bba-tt\/","title":{"rendered":"Data Analysis and Modelling || Spring, 2015 || Pokhara University ||BBA\/BI\/BCIS\/BBA-TT"},"content":{"rendered":"

Data Analysis and Modelling<\/h2>\n

This is the question set Data Analysis and Modelling Spring 2015, which was taken by the Pokhara University.<\/p>\n

Pokhara University \u2013 Data Analysis and Modelling Spring 2015<\/strong><\/p>\n

 <\/p>\n\n\n\n\n\n\n
Level:\u00a0 Bachelor<\/td>\nSemester \u2013Spring<\/td>\n\u00a0Year: 2015<\/td>\n<\/tr>\n
Program: BBA\/BI\/BCIS\/BBA-TT<\/td>\n\u00a0Full Marks: 100<\/td>\n<\/tr>\n
Course: Data Analysis and Modelling<\/td>\n\u00a0 Pass Marks: 45<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0\u00a0 Time:\u00a0 3hrs.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Section “A”<\/p>\n

Very Short Answer Questions<\/strong><\/p>\n

Attempt all the questions.<\/p>\n

    \n
  1. \u00a0What is the difference between correlation analysis and regression analysis?<\/li>\n
  2. For a set of 8 data points, the sum of squared differences between observed and estimated values of Y is 35.72. Given this information, what is the standard error of estimate?<\/li>\n
  3. With reference to the given multiple regression:\"\"
    \nInterpret the meaning of slopes and coefficient of multiple
    \ndetermination if R2 <\/sup>= 0.90<\/li>\n
  4. Given the following information from a simple regression analysis:
    \nn=20, b1<\/sub>=4,\u00a0 b2<\/sub>=3, Sb1<\/sub>=1.2, Sb2<\/sub>=0.8, set up a 95% confidence interval estimate of the population slope \u03b22<\/sub><\/strong>.<\/sub><\/li>\n
  5. Form the given information calculate the forecast for the year 2006 using Exponential smoothing constant 0.1 and forecast for the year 2003 was 195 units.
    \n\"Data<\/li>\n
  6. What is the cost of living index number? What does it measure?<\/li>\n
  7. Convert the following profit matrix into the opportunity loss matrix.
    \n\"Data<\/li>\n
  8. Detect active and inactive constraints of following LPP.
    \nMax Z=5x+7y
    \nS.t
    \n2x+3y 30
    \n3x+5y 45
    \nx 0,y 0
    \nWhere max z = 62 at x= 4 and y=6<\/li>\n
  9. Write down the assumption of the linear regression model.<\/li>\n
  10. Find the critical path and project duration (in weeks) from the following network diagram
    \n\"\"<\/p>\n

    Section “B”<\/p>\n

    Descriptive Answer Questions<\/strong><\/p>\n

    Attempt any six<\/em><\/strong> questions<\/li>\n

  11. A firm administers a test to sales trainees before they go into the field. The management of the firm is interested in determining the relationship between the test scores and the sales made by the trainees at the end of one year in the field. The following data were collected for 10 sales personnel who have been in the field:
    \n\"\"<\/li>\n<\/ol>\n

    Calculation shows that<\/p>\n

    SX<\/em> = 34\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0SX<\/em>2<\/sup> = 122.6
    \nSY<\/em> = 1371\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SY<\/em>2<\/sup> = 201121
    \nSXY<\/em> = 4954<\/p>\n