Album Sales

Description:
Imagine that you worked for a record company and that your boss was interested in predicting album sales from advertising. This data file has 200 rows, each one representing a different album.

Variables:


References:
Field, A. P. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage. [Fictional data set]
The data set was constructed by Andy Field who therefore owns the copyright. Andy Field generously agreed that we can include the data set in the jamovi data library. This data set is also publicly available on the website that accompanies Andy Field`s book, https://edge.sagepub.com/field5e. Without Andy Field`s explicit consent, this data set may not be distributed for commercial purposes, this data set may not be edited, and this data set may not be presented without acknowledging its source (i.e., the terms of a CC BY-NC-ND license).

Linear Regression

Model Fit Measures
ModelRAdjusted R²
10.580.330.33

 

Omnibus ANOVA Test
 Sum of SquaresdfMean SquareFp
Adverts433687.831433687.8399.59< .001
Residuals862264.171984354.87  
Note. Type 3 sum of squares
[3]

 

Model Coefficients - Sales
PredictorEstimateSEtpStand. Estimate
Intercept134.147.5417.80< .001 
Adverts0.100.019.98< .0010.58

 

References

[1] The jamovi project (2021). jamovi. (Version 2.0) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).

[3] Fox, J., & Weisberg, S. (2020). car: Companion to Applied Regression. [R package]. Retrieved from https://cran.r-project.org/package=car.