A survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The scatterplot below shows their results when comparing two variables: the amount people reported that they put into savings each month, and the amount they reported that they spent on clothes. The researchers found the correlation coefficient for this data to be -0.239. Which of the following is true about these variables? a. There is no relationship between savings and money spent on clothes each month. b. There is a weak, positive linear relationship between savings and money spent on clothes each month. c. There is a perfect, negative linear relationship between savings and money spent on clothes each month. d. There is a weak, negative linear relationship between savings and money spent on clothes each month.
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 survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The
a. There is no relationship between savings and money spent on clothes each month.
b. There is a weak, positive linear relationship between savings and money spent on clothes each month.
c. There is a perfect, negative linear relationship between savings and money spent on clothes each month.
d. There is a weak, negative linear relationship between savings and money spent on clothes each month.
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