Name Her Age His Age Barack and Michelle Obama 45 47 George W. and Laura Bush 54 54 Bill and Hillary Clinton 45 46 Ronald and Nancy Reagan 55 64 Gerald and Betty Ford 59 69 Lyndon and Lady Bird Johnson 56 61 John and Jacqueline Kennedy 31 43 Dwight and Mamie Eisenhower 50 55 (c) Remove the outlier and compute the least-squares regression line for predicting the president's age from first lady's age.
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.
| Name | Her Age | His Age |
|---|---|---|
| Barack and Michelle Obama |
45
|
47
|
| George W. and Laura Bush |
54
|
54
|
| Bill and Hillary Clinton |
45
|
46
|
| Ronald and Nancy Reagan |
55
|
64
|
| Gerald and Betty Ford |
59
|
69
|
| Lyndon and Lady Bird Johnson |
56
|
61
|
| John and Jacqueline Kennedy |
31
|
43
|
| Dwight and Mamie Eisenhower |
50
|
55
|
(c) Remove the outlier and compute the least-squares regression line for predicting the president's age from first lady's age. Round the slope and
-intercept values to at least four decimal places.
|
Regression line equation:
=y
|
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