Interpreting the result of the linear regression Variable DF Estimate Error t Value Pr > |t| Reading the output of the linear regression Weight (continuous) ~ Height (continuous) In the demo example, if one wants to see impact of height on weight, or predict weight according to a certain given value of height. The general linear regression model can be used.
![the linear regression equation example the linear regression equation example](https://www.wallstreetmojo.com/wp-content/uploads/2019/09/Econometrics.png)
If the question is to investigate the impact of one variable on the other, or to predict the value of one variable based on the other, Infile "H:\sas\data\measurement.csv" dlm=',' firstobs=2 Īnalyzing the impact of one variable on the other Suppose in a health screening, seven people take measurement on Gender, Height, Weight and Age. On the other hand, if a linear model is used to fit relationship between X and Y, the stronger X and YĪre linearly associated, the better fit the model for the date, and the corresponding test on strength of lindear association is also known as a test on linear correlation. The slope the linear function indicates the strength of impact, and the corresponding test on slopes is also known as a test on linear influence. If the relationship between two variables X and Y can be presented with a linear function, Linear regression model is a method for analyzing the relationship between two quantitative variables, X and Y.
![the linear regression equation example the linear regression equation example](https://cdn-images-1.medium.com/max/800/1*vji1X_3xW3lZsXUY4Vf-cg.png)
Analyzing the correlation between two variables.Use data transformation to remedy the lack of normal assumptions.Interpreting the results of the linear regression.
![the linear regression equation example the linear regression equation example](https://i.pinimg.com/originals/c7/36/7f/c7367f2a198c700aa69ce885abd9ebee.jpg)
Reading the output of the linear regression.Analyzing the impact of one variable on the other.