Question 5Consider a simple linear regression with the following results:Sample size:24Estimated slope parameter:B1 = 0.31Estimated standard error: 0.082i. Test the following hypothesis with 5% significance levelHo : B1 = 0НА : В +0ii. Test the following hypothesis with 5% significance level: B1 = 0На: В1 > 0iii. Test the following hypothesis with 5% significance level. Show the rejection region in agraph.Но : В — 0На: В <0iv. Test the following hypothesis with 5% significance level. Show the rejection region in agraph.Но : В — 0.5НА : В +0.5v. Construct a 95% interval estimate of the slope parameter.

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i. Test the following hypothesis with 5% significance level Họ : B1 = 0 На: В 20 ii. Test the following hypothesis with 5% significance level Ho : B1 = 0 НА: В > 0 iii. Test the following hypothesis with 5% significance level. Show the rejection region in a graph. Ho : B1 = 0 На: В <0

i. Test the following hypothesis with 5% significance level Họ : B1 = 0 На: В 20 ii. Test the following hypothesis with 5% significance level Ho : B1 = 0 НА: В > 0 iii. Test the following hypothesis with 5% significance level. Show the rejection region in a graph. Ho : B1 = 0 На: В <0

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 8E

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Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

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