where and denote the estimates of the line intercept α and slope β, respectively. Given the following data: Y: 11 14 20 19 20 X: 1 2 3 4 5 Calculate the OLS estimates for the simple linear model in equation (1). Estimate the standard error of the regression in equation (1). Compute the regression’s and test whether this is significantly different from zero at 5% and 1% statistical significance levels. You can find the F-test’s critical values in the Tables in the appendix A at the end of the exam paper
where and denote the estimates of the line intercept α and slope β, respectively. Given the following data: Y: 11 14 20 19 20 X: 1 2 3 4 5 Calculate the OLS estimates for the simple linear model in equation (1). Estimate the standard error of the regression in equation (1). Compute the regression’s and test whether this is significantly different from zero at 5% and 1% statistical significance levels. You can find the F-test’s critical values in the Tables in the appendix A at the end of the exam paper
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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Question
Consider the following model:
, Equation (1)
where and denote the estimates of the line intercept α and slope β, respectively.
Given the following data:
Y: 11 14 20 19 20
X: 1 2 3 4 5
- Calculate the OLS estimates for the simple linear model in equation (1).
- Estimate the standard error of the regression in equation (1).
- Compute the regression’s and test whether this is significantly different from zero at 5% and 1% statistical significance levels. You can find the F-test’s critical values in the Tables in the appendix A at the end of the exam paper.
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