Here is data with y as the response variable. x y 15.9 20.7 9.9 -3.2 41.7 38.9 -101.4 2 34.8 34.1 25.1 7.1 19.3 8.3 24 33.8 Make a scatter plot of this data. Which point is an outlier? Enter as an ordered pair. For example (a,b) - with parenthesis. Find the regression equation for the data set without the outlier. Enter as an equation of the form y=a+bxy=a+bx. Rounded to three decimal places. Do not include the hat in y-hat. Find the regression equation for the data set with the outlier. Enter as an equation of the form y=a+bxy=a+bx. Rounded to three decimal places. Do not include the hat in y-hat.
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.
Here is data with y as the response variable.
| x | y |
|---|---|
| 15.9 | 20.7 |
| 9.9 | -3.2 |
| 41.7 | 38.9 |
| -101.4 | 2 |
| 34.8 | 34.1 |
| 25.1 | 7.1 |
| 19.3 | 8.3 |
| 24 | 33.8 |
Make a
Enter as an ordered pair. For example (a,b) - with parenthesis.
Find the regression equation for the data set without the outlier.
Enter as an equation of the form y=a+bxy=a+bx. Rounded to three decimal places. Do not include the hat in y-hat.
Find the regression equation for the data set with the outlier.
Enter as an equation of the form y=a+bxy=a+bx. Rounded to three decimal places. Do not include the hat in y-hat.
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 8 images
