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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. 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.

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. 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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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pls answer d,e,f on paper and draw the criitical region (D) pls use paper but dont use 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: Temperature 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Conv. Sugar 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. 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.
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: Temperature 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Conv. Sugar 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. 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.
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