1.Calculate the Pearson correlation coefficient. (you only need to show the values of SSxy, SSx and SSy in the formula, and the value of r. ) 2.Is this Pearson’ r significant at level of αtwo-tail = 0.05? (you only need to show the critical value of r, and the comparison between robt and rcrit.) ID X Y S01 20 190 S02 25 177 S03 30 183 S04 35 153 S05 40 159 S06 45 155 S07 50 130 S08 55 122 S09 60 126 S10 60 105
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.
1.Calculate the Pearson
2.Is this Pearson’ r significant at level of αtwo-tail = 0.05? (you only need to show the critical value of r, and the comparison between robt and rcrit.)
|
ID |
X |
Y |
|
S01 |
20 |
190 |
|
S02 |
25 |
177 |
|
S03 |
30 |
183 |
|
S04 |
35 |
153 |
|
S05 |
40 |
159 |
|
S06 |
45 |
155 |
|
S07 |
50 |
130 |
|
S08 |
55 |
122 |
|
S09 |
60 |
126 |
|
S10 |
60 |
105 |
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