The observations of yields (y) of a chemical reaction taken at various temperatures (x) were recorded in the following table: a) Calculate the correlation coefficient and test the significance at 5% probability; b) Find the simple linear regression equation; c)Calculate the coefficient of determination. d) What is the expected efficiency of the chemical reaction for a temperature of 270 °C?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
The observations of yields (y) of a chemical reaction taken at various temperatures (x) were recorded in the following table:
a) Calculate the
b) Find the simple linear regression equation;
c)Calculate the coefficient of determination.
d) What is the expected efficiency of the chemical reaction for a temperature of 270 °C?
![Temperature (°C)
Efficiency (%)
150
77,4
150
76,7
200
84,5
200
83,7
89,2
250
250
89,7
300
94,8
300
94,7](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fed2e69cf-3b4f-488c-8510-e3f53f35b086%2F3a64e286-c7f6-49da-b159-6f33fdc1e021%2Femcgdnj_processed.png&w=3840&q=75)
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