12. Based on the output, we are regressing (A) on (B). What are (A) and (B)? Exp

Question

12. Based on the output, we are regressing (A) on (B). What are (A) and (B)? Explicitly state them.

13. Intuitively, does the sign of the estimated slope coefficient make sense? Why or why not? Provide a clear explanation.

Exhibit D: 11,064 172.24 0.0000 0.0153 0.0152 101.32 Source df MS Number of obs = F (1, 11062) Model Residual 1768300.97 113569163 1 1768300.97Prob >F 11,062 10266.603R-squared Adj R-squared Total 115337464 11,063 10425.5142 Root MSE coach fare Coef. Std. Err. t P>It | [95% Conf. Interval] 22.73175 266.2998 16.82378 272.5008 num car dir 19.777761.506997 269.4003 1.581759170.320.000 13.120.000 cons

Explanation / Answer

12. Here (A): Coach_fare , is response variable.

(B): Mu,_car_dir_cons , is explaintory variable.

13. The value of estimated slope coefficient tells you how much the predicted value changes when the corresponding predictor is increased by 1 unit. If estimated slope coefficient has negative sign ,  the predicted value decreases otherwise increases

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.