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).
Model Fit Measures | |||||||
---|---|---|---|---|---|---|---|
Model | R | R² | Adjusted R² | ||||
1 | 0.58 | 0.33 | 0.33 | ||||
Omnibus ANOVA Test | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Sum of Squares | df | Mean Square | F | p | |||||||
Adverts | 433687.83 | 1 | 433687.83 | 99.59 | < .001 | ||||||
Residuals | 862264.17 | 198 | 4354.87 | ||||||||
Note. Type 3 sum of squares | |||||||||||
[3] |
Model Coefficients - Sales | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Predictor | Estimate | SE | t | p | Stand. Estimate | ||||||
Intercept | 134.14 | 7.54 | 17.80 | < .001 | |||||||
Adverts | 0.10 | 0.01 | 9.98 | < .001 | 0.58 | ||||||
[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.