In: Statistics and Probability
INTERCEPT | ||||
Billed Charge | Visit Time (Minutes) | |||
$ 13,924.00 | 220 | |||
$ 4,956.00 | 180 | |||
$ 8,496.00 | 165 | |||
$ 12,036.00 | 200 | |||
$ 4,956.00 | 173 | |||
$ 10,384.00 | 235 | |||
$ 12,980.00 | 231 | |||
$ 10,148.00 | 215 | |||
$ 8,024.00 | 170 | |||
$ 12,508.00 | 295 | |||
$ 11,328.00 | 198 | |||
$ 9,440.00 | 145 | |||
$ 13,452.00 | 216 | |||
$ 10,620.00 | 199 | |||
$ 10,384.00 | 240 | |||
$ 5,664.00 | 124 | |||
$ 7,316.00 | 200 | |||
$ 10,148.00 | 215 | |||
$ 5,900.00 | 184 | |||
$ 7,788.00 | 165 | |||
INTERCEPT | ||||
Now that you have determined the answer, it is time to provide a 1 or 2 sentence | ||||
write up of your answer. In statistics, it is important that you not only get the correct | ||||
mathematical answer, but that you become comfortable writing up your results in | ||||
a manner that is easily understood by the reader/audience. |
Solution:
We can use the excel regression data analysis tool to find the intercept for the given data. The excel output is given below:
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.657849676 | |||||
R Square | 0.432766196 | |||||
Adjusted R Square | 0.401253206 | |||||
Standard Error | 2171.472165 | |||||
Observations | 20 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 64754844.28 | 64754844.28 | 13.73294656 | 0.001617631 | |
Residual | 18 | 84875244.52 | 4715291.362 | |||
Total | 19 | 149630088.8 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | -124.9793602 | 2648.267097 | -0.047192883 | 0.962879171 | -5688.782063 | 5438.823342 |
Visit Time (Minutes) | 48.60241491 | 13.11523219 | 3.705799044 | 0.001617631 | 21.04833459 | 76.15649524 |
Therefore, the intercept is:
The intercept means the expected billed charge is -$124.9794 when the visit time is 0 minutes. But the intercept does not have any practical meaning because the Billed charge can not be negative