The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. Here is the data table Height, x IQ score, y 62 101 56 93 63 101 67 108 58 89 62 105 65 110 54 122 Display the data in a scatter plot. The graph in the image have been chosen. Calculate the sample correlation coefficient r. r = [ ] (Round to three decimal places as needed.)
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.
The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test.
Here is the data table
Height, x IQ score, y
62 101
56 93
63 101
67 108
58 89
62 105
65 110
54 122
Display the data in a scatter plot. The graph in the image have been chosen.
Calculate the sample
r = [ ]
(Round to three decimal places as needed.)
View the image of the correlation value r table.
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