Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places). x y 5 37.9 6 39.16 7 39.92 8 39.48 9 40.64 10 40.5 11 40.66 12 42.42 13 44.08 14 42.84 15 45.7 16 47.46 The equation is ˆy = x + = Interpret the y-intercept of the equation: In 2016, the temperature was about 47.46. It does not make sense to interpret the intercept in this scenario. In 2000, the temperature was about 33.91. In 2005, the temperature was about 0.74. In 2005, the temperature was about 33.91.
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.
Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places).
| x | y |
|---|---|
| 5 | 37.9 |
| 6 | 39.16 |
| 7 | 39.92 |
| 8 | 39.48 |
| 9 | 40.64 |
| 10 | 40.5 |
| 11 | 40.66 |
| 12 | 42.42 |
| 13 | 44.08 |
| 14 | 42.84 |
| 15 | 45.7 |
| 16 | 47.46 |
The equation is ˆy = x + =
Interpret the y-intercept of the equation:
- In 2016, the temperature was about 47.46.
- It does not make sense to interpret the intercept in this scenario.
- In 2000, the temperature was about 33.91.
- In 2005, the temperature was about 0.74.
- In 2005, the temperature was about 33.91.
Trending now
This is a popular solution!
Learn your way
Includes step-by-step video
Step by step
Solved in 2 steps with 1 images
