For question 4, you will be computing a number of statistics by hand for a small data set Extrinsic (X) Cheat Int (Y) -16 1 -36 1 1 4 -9 3 -8 1 -33 1 -32 1 Calculate the SS (sum of squares) for Extrinsic Score. Calculate the SS (sum of squares) for Cheating Intent Score. Calculate the sum of cross product between Extrinsic Score and Cheating Intent Score.
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.
- For question 4, you will be computing a number of statistics by hand for a small data set
|
Extrinsic (X) |
Cheat Int (Y) |
|
-16 |
1 |
|
-36 |
1 |
|
1 |
4 |
|
-9 |
3 |
|
-8 |
1 |
|
-33 |
1 |
|
-32 |
1 |
- Calculate the SS (sum of squares) for Extrinsic Score.
- Calculate the SS (sum of squares) for Cheating Intent Score.
- Calculate the sum of cross product between Extrinsic Score and Cheating Intent Score.
- Calculate
correlation between Extrinsic Score and Cheating Intent Score. - With an .576, what do you conclude about the relation between Extrinsic Score and Cheating Intent Score?
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