Develop the equation of the simple linear regression line for this data. Then, give a brief interpretation of the values of the linear correlation coefficient, the intercept and the slope.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter2: Exponential, Logarithmic, And Trigonometric Functions
Section2.CR: Chapter 2 Review
Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...
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Develop the equation of the simple linear regression line for this data. Then, give a brief
interpretation of the values of the linear correlation coefficient, the intercept and the
slope.
Test the hypothesis that the slope would be positive at the 10% significance level by
showing your solution.
Construct an 80% confidence interval for B. Interpret your answer.
Transcribed Image Text:Develop the equation of the simple linear regression line for this data. Then, give a brief interpretation of the values of the linear correlation coefficient, the intercept and the slope. Test the hypothesis that the slope would be positive at the 10% significance level by showing your solution. Construct an 80% confidence interval for B. Interpret your answer.
In an experiment, the independent variable is the percentage of hydrocarbons and the dependent
variable is the purity of oxygen produced in a chemical distillation process that are present in
the main condenser of the distillation unit. The simple linear regression and correlation analysis
is performed in a sample of 9 observations. Results are as shown below:
SSxx
: 113.7356
SSyy = 0.5156
уу
a = -4.2869
b = 0.0648
%3D
Transcribed Image Text:In an experiment, the independent variable is the percentage of hydrocarbons and the dependent variable is the purity of oxygen produced in a chemical distillation process that are present in the main condenser of the distillation unit. The simple linear regression and correlation analysis is performed in a sample of 9 observations. Results are as shown below: SSxx : 113.7356 SSyy = 0.5156 уу a = -4.2869 b = 0.0648 %3D
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