heck the assumptions of regression model by creating a residual plot. Place the residual plot in your response and interpret the results. Does the residual plot imply the assumptions of a regression model are met? County Cancer Per 100,000, 2009-2013 2010 Median Income Household Dollars Androscoggin County(6,10) 460.4 57,385 Aroostook County(6,10) 478.7 36,574 Cumberland County(6,10) 469.6 55,658 Franklin County(6,10) 405.6 39,831 Hancock County(6,10) 485.4 47,533 Kennebec County(6,10) 477.3 45,973 Knox County(6,10) 459.3 45,264 Lincoln County(6,10) 433 47,678 Oxford County(6,10) 476.2 39,748 Penobscot County(6,10) 492.4 42,658 Piscataquis County(6,10) 477.6 34,016 Sagadahoc County(6,10) 466 55,486 Somerset County(6,10) 457.4 36,647 Waldo County(6,10) 493.8 41,312 Washington County(6,10) 499.5 34,859 York County(6,10) 485.8 55,008
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.
Check the assumptions of regression model by creating a residual plot. Place the residual plot in your response and interpret the results. Does the residual plot imply the assumptions of a regression model are met?
| County | Cancer Per 100,000, 2009-2013 | 2010 |
| Androscoggin County(6,10) | 460.4 | 57,385 |
| Aroostook County(6,10) | 478.7 | 36,574 |
| Cumberland County(6,10) | 469.6 | 55,658 |
| Franklin County(6,10) | 405.6 | 39,831 |
| Hancock County(6,10) | 485.4 | 47,533 |
| Kennebec County(6,10) | 477.3 | 45,973 |
| Knox County(6,10) | 459.3 | 45,264 |
| Lincoln County(6,10) | 433 | 47,678 |
| Oxford County(6,10) | 476.2 | 39,748 |
| Penobscot County(6,10) | 492.4 | 42,658 |
| Piscataquis County(6,10) | 477.6 | 34,016 |
| Sagadahoc County(6,10) | 466 | 55,486 |
| Somerset County(6,10) | 457.4 | 36,647 |
| Waldo County(6,10) | 493.8 | 41,312 |
| Washington County(6,10) | 499.5 | 34,859 |
| York County(6,10) | 485.8 | 55,008 |
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