In: Statistics and Probability
You are a researcher testing whether SAT scores predict overall college GPA. Conduct a linear regression analysis with this data by hand. How do your interpret your findings?
| 
 SAT  | 
 GPA  | 
| 
 670  | 
 1.2  | 
| 
 720  | 
 1.8  | 
| 
 750  | 
 2.3  | 
| 
 845  | 
 1.9  | 
| 
 960  | 
 3.0  | 
| 
 1000  | 
 3.3  | 
| 
 1180  | 
 3.2  | 
| 
 1200  | 
 3.4  | 
| 
 1370  | 
 2.9  | 
| 
 1450  | 
 3.8  | 
| 
 1580  | 
 4.0  | 
| 
 1600  | 
 3.9  | 
The dataset contains SAT scores of 12 students and their overall college GPA. We have to conduct a linear regression analysis based on the given data to check whether SAT scores can predict overall college GPA. So, here the SAT scores are independent variables ( x values ) and the overall college GPA is dependent variables ( y values ).
Now, the regression formula is -
y = a + bx , where y= dependent variables
x= independent variables
a and b are constants which we can calculate from the given data.



