Econometrics | 2016 Exam - Q2 Part (i) and (ii) Solution | Economics (H) | Sem 4 - DU

Videos on Assumptions of Classical Linear Regression Model: Video 1: Assumptions of Classical Linear Regression Model (Part 1) https://youtu.be/uhgB3imNo8Q Video 2: Assumptions of Classical Linear Regression Model (Part 2) https://youtu.be/SxaXz9HZkPg Join our Broadcast list for 'Undergraduate Econometrics' and stay updated on the video content. Whatsapp us on +91-9560560080 New Youtube Channel for Indian Students: https://www.youtube.com/channel/UCEB1dBgKNHSITjle79TfwNQ Playlist for Econometrics: Solutions to Past Exam Papers (Economics Hons - Delhi University): https://www.youtube.com/playlist?list=PLyqDMruigg0L8dDzmuHR0kLW7QoMbXdPs Website : http://www.eduspred.com/ Question Solved in this video: i. State the assumptions of Classical Linear Regression Model. ii. Using data on sales of cameras (SALES) and its price (PRICE in the thousands of rupees) for 17 brands, the effect of price on sales is given by: Sales = A + B Price + ui This is tested using OLS method. The results obtained are as follows. Assume that all the assumptions of classical linear regression model hold good. Sales = 112.85 - 2.375 Price t values (3.43) (-3.06) R squared = 0.6452 a) Interpret the slope coefficient b) Construct a 95% confidence interval for the slope coefficient c) Interpret R squared 0:00 Introduction to Question 2 (Econometrics 2016 Exam) 0:03 Part (a) Question 0:11 Solution to part (a) Question 0:33 Part (b) Question 1:07 Solution to part (b) Question Check other relevant content on our websites: www.eduspred.in (For Indian Students) www.eduspred.com (For students outside India)