What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78 77 42 65 71 94 6
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.
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these
Predicted percentage between 25 and 50: ________________________
Actual percentage:
Predicted percentage more than 50 miles:
Actual percentage: ___________________________________________
Comparison ____________________________________________________
Why? __________________________________________________________
Drive:
| 44 |
| 20 |
| 88 |
| 6 |
| 71 |
| 42 |
| 76 |
| 63 |
| 61 |
| 63 |
| 84 |
| 28 |
| 55 |
| 33 |
| 88 |
| 80 |
| 86 |
| 83 |
| 5 |
| 85 |
| 25 |
| 25 |
| 54 |
| 54 |
| 81 |
| 73 |
| 29 |
| 76 |
| 78 |
| 77 |
| 42 |
| 65 |
| 71 |
| 94 |
| 6 |
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