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 Conv. Sugar 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7...


pls answer a,b,c without using excel. pls use paper so i can understand thank youu


2. A study was made on the amount of converted sugar in a certain process at various temperatures.<br>The data were coded and recorded as follows:<br>Temperature<br>Conv. Sugar<br>1.0<br>1.1<br>1.2<br>1.3<br>1.4<br>1.5<br>1.6<br>1.7<br>1.8<br>1.9<br>2.0<br>8.1<br>7.8<br>8.5<br>9.8<br>9.5<br>8.9<br>8.6<br>10.2<br>9.3<br>9.2<br>10.5<br>A. Which is the predictor variable and the response variable?<br>B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude.<br>C. Compute the sample coefficient of determination and interpret.<br>D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation<br>between temperature and amount of converted sugar.<br>E. Find the fitted regression line to estimate amount of converted sugar.<br>F. Estimate the amount of converted sugar produced when the coded temperature is 1.75.<br>

Extracted 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 Conv. Sugar 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 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.

Jun 03, 2022
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