In an attempto develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 17 wines, a model was created using the percentages of alcohol to predict wine quality. From the results of that regression, b, = 0.3564 and Sp = 0.1915. a. At the 0.05 level of significance, is there evidence of a linear relationship between the percentage of alcohol and wine quality? b. Construct a 95% confidence interval estimate of the population slope. B₁. ***
In an attempto develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 17 wines, a model was created using the percentages of alcohol to predict wine quality. From the results of that regression, b, = 0.3564 and Sp = 0.1915. a. At the 0.05 level of significance, is there evidence of a linear relationship between the percentage of alcohol and wine quality? b. Construct a 95% confidence interval estimate of the population slope. B₁. ***
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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Transcribed Image Text:In an attempt develop a model of wine quality as judged by wine experts, data on alcohol content
and wine quality was collected from variants of a particular wine. From a sample of 17 wines, a model
was created using the percentages of alcohol to predict wine quality. From the results of that
regression, b, = 0.3564 and Sp, = 0.1915.
a. At the 0.05 level of significance, is there evidence of a linear relationship between the percentage of
alcohol and wine quality?
b. Construct a 95% confidence interval estimate of the population slope. B₁.
a. Determine the hypotheses for the test. Choose the correct answer below.
OA. Ho: B₁ ≤0
OB.
Ho: Bo 20
H₁: B₁ >0
H₁: Bo <0
OD. Ho: B₁ 20
O E. Ho: Bo ≤0
H₁: B₁ <0
H₁: Bo>O
Compute the test statistic.
ỌC. Hai Bị =Ọ
H₁: B₁ #0
OF. Ho: Bo=0
H₁: Bo #0
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