Data analytic cases
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£35(approx. $44)
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- #1986901
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Description
Experience Level: Intermediate
this is the DA case and
The regression table on the next page shows box office revenues for a sample of
recent movies. However, all the information for
the questions below can be found in the table. The variables in the model are the
following
6 / 6 pages
REGRESSION TABLE
---------------------------------------------------
LHS=LOGBOX Mean = 16.47993
Standard deviation = .94297
Model size Predictors = 12
Degrees of freedom = 49 (Residual)
Residuals Sum of Squared Res. = 20.54972 (Sum of squared residuals)
Standard error of e = .64760 (Mean squared residual)
Fit R-squared = .62114
Adjusted R-squared = .52836
--------+-------------------------------------------
| Standard
LOGBOX | Coefficient Error t p
--------+-------------------------------------------
Constant| 12.5388*** .98766 12.70 .0000
LOGBUDGT| .23193 .18346 1.26 .2122
STARPOWR| .00175 .01303 .13 .8935
SEQUEL | .43480 .29668 1.47 .1492
MPRATING| -.26265* .14179 -1.85 .0700
ACTION | -.83091*** .29297 -2.84 .0066
COMEDY | -.03344 .23626 -.14 .8880
ANIMATED| -.82655** .38407 -2.15 .0363
HORROR | .33094 .36318 .91 .3666
CNTWAIT3| 2.59489*** .90981 2.85 .0063
LOGADDCT| .29451** .13146 2.24 .0296
LOGFNDGO| .02322 .11460 .20 .8403
LOGCMSON| .05950 .12633 .47 .6397
--------+-------------------------------------------
creating a model to follow and predict the behaviour ?
The regression table on the next page shows box office revenues for a sample of
recent movies. However, all the information for
the questions below can be found in the table. The variables in the model are the
following
6 / 6 pages
REGRESSION TABLE
---------------------------------------------------
LHS=LOGBOX Mean = 16.47993
Standard deviation = .94297
Model size Predictors = 12
Degrees of freedom = 49 (Residual)
Residuals Sum of Squared Res. = 20.54972 (Sum of squared residuals)
Standard error of e = .64760 (Mean squared residual)
Fit R-squared = .62114
Adjusted R-squared = .52836
--------+-------------------------------------------
| Standard
LOGBOX | Coefficient Error t p
--------+-------------------------------------------
Constant| 12.5388*** .98766 12.70 .0000
LOGBUDGT| .23193 .18346 1.26 .2122
STARPOWR| .00175 .01303 .13 .8935
SEQUEL | .43480 .29668 1.47 .1492
MPRATING| -.26265* .14179 -1.85 .0700
ACTION | -.83091*** .29297 -2.84 .0066
COMEDY | -.03344 .23626 -.14 .8880
ANIMATED| -.82655** .38407 -2.15 .0363
HORROR | .33094 .36318 .91 .3666
CNTWAIT3| 2.59489*** .90981 2.85 .0063
LOGADDCT| .29451** .13146 2.24 .0296
LOGFNDGO| .02322 .11460 .20 .8403
LOGCMSON| .05950 .12633 .47 .6397
--------+-------------------------------------------
creating a model to follow and predict the behaviour ?
Seyed M.
100% (25)Projects Completed
19
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Projects awarded
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Last project
18 Mar 2024
United States
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