The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test Hours Scores 5 10 86 4 69 6. 10 9 64 86 59 87 16. What can be said about the relationship between the number of hours and score obtained A. Negative, weak correlation B. Negative, strong correlation C. Positive, weak correlation D. Positive strong correlation 17. Which is the y intercept of the regression line A. 1.067 B. 67.349 C. 0.2242 D. 0.0503
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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