In: Statistics and Probability
Wainer (1997) presented data on the relationship between hours of TV watching and mean score on the 1990 National Assessment of Educational Progress (NAEP) for eighth-grade mathematics assessment. The data follow, separated for boys and girls.
| 
 HoursTV  | 
 Girls  | 
 BOYS  | 
| 
 0  | 
 258  | 
 276  | 
| 
 1  | 
 269  | 
 273  | 
| 
 2  | 
 267  | 
 292  | 
| 
 3  | 
 261  | 
 269  | 
| 
 4  | 
 259  | 
 266  | 
| 
 5  | 
 253  | 
 259  | 
| 
 6  | 
 239  | 
 249  | 
We can plot the scatter plot with regression line and r2 value using excel.
let us first draw for girls score and hours
First select the both data set , go to Insert ---> Charts ---> Scatter
The scatter plot will be appeared , then click on any point on the plot , right click , select add "Trendline" option
Then check the box for "Display Equation on chart " and "Display R-squared value on chart "

Scatter plot for hours vs girls score

From the scatter plot , we can say that there is strong negative correlation exists between the both variables hours and girls scores.
Regression equation : Girls score = -3.4643*hours + 268.39
Interpretation of slope :
As hours of TV watching is increases by 1 hour , we expect to decrease in girls NAEP math scores by 3.4643
Interpretation of Intercept :
If girls do not watch the TV,,then we expect the NAEP math score of a girl is 268.39
Scatter plot for hours vs boys score

From the scatter plot , we can say that there is strong negative correlation exists between the both variables hours and boys scores.
Regression equation : Boys score = -4.8214*hours + 283.61
Interpretation of slope :
As hours of TV watching is increases by 1 hour , we expect to decrease in boys NAEP math scores by 4.8214
Interpretation of Intercept :
If boys do not watch the TV,,then we expect the NAEP math score of a boy is 283.61