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C. Compute the sample coefficient of determination and interpret. D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation between temperature and amount of converted sugar. Include the Level of Significance, Critical Value/s & region and bell curve E. Find the fitted regression line to estimate amount of converted sugar. F. Estimate the amount of converted sugar produced when the coded temperature is 1.75. (equation of regretion line

C. Compute the sample coefficient of determination and interpret. D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation between temperature and amount of converted sugar. Include the Level of Significance, Critical Value/s & region and bell curve E. Find the fitted regression line to estimate amount of converted sugar. F. Estimate the amount of converted sugar produced when the coded temperature is 1.75. (equation of regretion line

MATLAB: An Introduction with Applications
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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pls answer d,e,f without using excel

2. A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Temperature Conv. Sugar 1.0 1.1 1.2 8.1 7.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 9.2 10.5 A. Which is the predictor variable and the response variable? B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude. C. Compute the sample coefficient of determination and interpret. D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation between temperature and amount of converted sugar. Include the Level of Significance, Critical Value/s & region and bell curve E. Find the fitted regression line to estimate amount of converted sugar. F. Estimate the amount of converted sugar produced when the coded temperature is 1.75. (equation of regretion line D. Hypothesis Test Step 1: State the null and alternative hypothesis in words. A. Independent Variable: Step 3: Compute test statistic
Transcribed Image Text:2. A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Temperature Conv. Sugar 1.0 1.1 1.2 8.1 7.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 9.2 10.5 A. Which is the predictor variable and the response variable? B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude. C. Compute the sample coefficient of determination and interpret. D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation between temperature and amount of converted sugar. Include the Level of Significance, Critical Value/s & region and bell curve E. Find the fitted regression line to estimate amount of converted sugar. F. Estimate the amount of converted sugar produced when the coded temperature is 1.75. (equation of regretion line D. Hypothesis Test Step 1: State the null and alternative hypothesis in words. A. Independent Variable: Step 3: Compute test statistic
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