(a) A negative value for a correlation indicates ______. a) a much stronger relationship than if the correlation were positiveb) a much weaker relationship than if the correlation were positive c) increases in X tend to be accompanied by increases in Yd)increases in X tend to be accompanied by decreases in Y (b) For which of the following correlations would the data points be clustered most closely around a straight line? a) r = 0.10 b) r = 0.50 c) r = −0.80 d)There is no relationship between the correlation and how close the data points are to the line (c) The value for a correlation can never be greater than 1.00. True or False
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.
(a) A negative value for a correlation indicates ______.
a) a much stronger relationship than if the correlation were positive
b) a much weaker relationship than if the correlation were positive
c) increases in X tend to be accompanied by increases in Y
d)increases in X tend to be accompanied by decreases in Y
(b) For which of the following
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
