Calculate the 95% confidence interval for these set of data: 3.3,3.4,3.1 and 3.6 ppm a. 3.35土0.22 ppm Degree of Freedom 90% 631 292 235 213 2.02 194 190 80% 95% 99% 99.9% b.3.35士 0.17ppm 637 992 584 460 4.03 12.7 430 637 316 3.08 189 164 153 1.48 144 142 C. 3.35士 0.25 ppm 3.18 129 2.78 8.61 6.87 d. 3.35士 0.11 ppm 257 245 3.71 3.50 5.96 541 e. 3.35+0.33 ppm 236
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.
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