A researcher is interested in the correlation between the height (in inches) and weight (in pounds) of males. The researcher measured the height and weight of four males. The measured values are Participant Height Weight Participant 1 70 160 Participant 2 69 164 Participant 3 61 134 Participant 4 66 155 Participant 5 71 170 Participant 6 65 158 Participant 7 67 160 Participant 8 73 180 Participant 9 67 165 Participant10 64 146 1) Plot the scatterplot to show the relationship between height and weight, label the value for each participant. 2) Base on the scatterplot, describe the relationship between height and weight (form, direction, strength, possible outlier)? 3) Calculate the correlation coefficients. Does it confirm your judgment in the previous question?
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.
Question 2: A researcher is interested in the
|
Participant |
Height |
Weight |
|
Participant 1 |
70 |
160 |
|
Participant 2 |
69 |
164 |
|
Participant 3 |
61 |
134 |
|
Participant 4 |
66 |
155 |
|
Participant 5 |
71 |
170 |
|
Participant 6 |
65 |
158 |
|
Participant 7 |
67 |
160 |
|
Participant 8 |
73 |
180 |
|
Participant 9 |
67 |
165 |
|
Participant10 |
64 |
146 |
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