Only need subparts D E F and G answered, previous subparts already answered. Consider the following model of stock prices: Price=ßo + Biearning + ɛ. Where earning is theannual profit per share.Price65184532375224271931Earning2.35 0.15 1.15 1.11.51.610.550.20.4a. Use the method of OLS to estimate the unknown parameters, ßo and B1. Write theregression equation.b. Calculate SSE, s², s, and and S3, -c. Test for significance of Bi using a=0.05. Interpret the results.d. Construct a 95% confidence interval for B1. Interpret the interval.e. Calculate R? and r. Interpret them and test for significance of correlation coefficient usinga=0.05f. Predict average price of stocks when earning is $2. Construct a 90% confidence interval(prediction interval) for the average price.g. Make a prediction of price of a stock when earning is $2. Construct and interpret a 90%prediction interval

d. Using Excel, calculate SSE: SSE=∑ (Y-(β0+β1*X))2 95% Confidence interval for slope parameter:…

Consider the following model of stock prices: Price=Bo + Biearning + ɛ. Where earning is the annual profit per share. Price 65 18 45 32 37 1.5 52 24 27 19 31 Earning 2.35 0.15 1.15 1.1 1.6 1 0.55 0.2 0.4 a. Use the method of OLS to estimate the unknown parameters, Bo and B1. Write the regression equation. b. Calculate SSE, s², s, and and S3, - c. Test for significance of ßi using a=0.05. Interpret the results. d. Construct a 95% confidence interval for B1. Interpret the interval. e. Calculate R? and r. Interpret them and test for significance of correlation coefficient using a-0.05 f. Predict average price of stocks when earning is $2. Construct a 90% confidence interval (prediction interval) for the average price. g. Make a prediction of price of a stock when earning is $2. Construct and interpret a 90% prediction interval

Consider the following model of stock prices: Price=Bo + Biearning + ɛ. Where earning is the annual profit per share. Price 65 18 45 32 37 1.5 52 24 27 19 31 Earning 2.35 0.15 1.15 1.1 1.6 1 0.55 0.2 0.4 a. Use the method of OLS to estimate the unknown parameters, Bo and B1. Write the regression equation. b. Calculate SSE, s², s, and and S3, - c. Test for significance of ßi using a=0.05. Interpret the results. d. Construct a 95% confidence interval for B1. Interpret the interval. e. Calculate R? and r. Interpret them and test for significance of correlation coefficient using a-0.05 f. Predict average price of stocks when earning is $2. Construct a 90% confidence interval (prediction interval) for the average price. g. Make a prediction of price of a stock when earning is $2. Construct and interpret a 90% prediction interval

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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