Calculate the Pearson Correlation Coefficient for these two variables and b) test whether the correlation is significantly different from 0. Run the test at a 5% level of significance. 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. can you do this in excel. I want to see if im doing this correctly ID Hours of Study (x) Exam Score (y) 1 2 80 2 3 83 3 5 95 4 1 79 5 2 84 6 3 90
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.
Calculate the Pearson
can you do this in excel. I want to see if im doing this correctly
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ID
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Hours of Study (x)
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Exam Score (y)
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1
|
2
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80
|
|
2
|
3
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83
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|
3
|
5
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95
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4
|
1
|
79
|
|
5
|
2
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84
|
|
6
|
3
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90
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