4. Consider the following multiple regression results, where the dependent variable is the number of movie tickets sold per week, X, is the ticket price, and X, is the cost of DVD rental. P; = Sp = (13.130) t = -51.0918X¡1 + 41.4607X¡2 (37.0184) %| (0.584) (-6.800) SSR = 17,023 = 6,262 SST = 23,285 n = 20 |Complete the missing entries in the output. 1 Are the slope coefficients, b, and b2, individually statistically significant (a = 0.10 %3D 3. Calculate the standard error of the regression (s¿) and the R². 2.

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4. Consider the following multiple regression results, where the dependent variable is the
number of movie tickets sold per week, X, is the ticket price, and X2 is the cost of DVD
rental.
-51.0918X¡1 + 41.4607X¡2
(37.0184)
(13.130)
(0.584)
Sp
t =
(-6.800)
SSR = 17,023
SSE = 6,262
= 23,285
SST =
п 3D 20
Complete the missing entries in the output.
1
| Are the slope coefficients, b, and b2, individually statistically significant (a = 0.10
2.
3.
Calculate the standard error of the regression (s.) and the R2.
Transcribed Image Text:4. Consider the following multiple regression results, where the dependent variable is the number of movie tickets sold per week, X, is the ticket price, and X2 is the cost of DVD rental. -51.0918X¡1 + 41.4607X¡2 (37.0184) (13.130) (0.584) Sp t = (-6.800) SSR = 17,023 SSE = 6,262 = 23,285 SST = п 3D 20 Complete the missing entries in the output. 1 | Are the slope coefficients, b, and b2, individually statistically significant (a = 0.10 2. 3. Calculate the standard error of the regression (s.) and the R2.
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