A researcher is surprised at the low Pearson Product Moment correlation coefficient between the heights and weights of the members of the woman’s basketball team at his college. He should have realized a. that he had several outliers and that reduced the correlation b. the range of heights was restricted and that reduced the correlation c. the relationship was curvilinear and could not be detected by the Pearson Product Moment correlation d. Height does not cause weight
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 researcher is surprised at the low Pearson Product Moment
a. that he had several outliers and that reduced the correlation
b. the
c. the relationship was curvilinear and could not be detected by the Pearson Product Moment correlation
d. Height does not cause weight
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