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