Chapter 1 - Linear Regression with One Predictor Variable
Source:vignettes/kutnerALSM5e-01-Linear-Regression-with-One-Predictor-Variable.Rmd
kutnerALSM5e-01-Linear-Regression-with-One-Predictor-Variable.Rmd
library(kutnerALSM5e)
packageVersion("kutnerALSM5e")
## [1] '0.0.0.9000'
Regression analysis is a statistical methodology that utilized the relation between two or more quantitative variables so that a response or outcome variable can be predicted from the other, or others. This methodology is widely used in business, the social and behavioral sciences, the biological sciences, and many other
Session Info
## R version 4.4.0 (2024-04-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 22.04.4 LTS
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## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
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## locale:
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## time zone: UTC
## tzcode source: system (glibc)
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## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
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## other attached packages:
## [1] kutnerALSM5e_0.0.0.9000
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## loaded via a namespace (and not attached):
## [1] vctrs_0.6.5 cli_3.6.2 knitr_1.46 rlang_1.1.3
## [5] xfun_0.43 purrr_1.0.2 textshaping_0.3.7 jsonlite_1.8.8
## [9] htmltools_0.5.8.1 ragg_1.3.1 sass_0.4.9 rmarkdown_2.26
## [13] evaluate_0.23 jquerylib_0.1.4 fastmap_1.1.1 yaml_2.3.8
## [17] lifecycle_1.0.4 memoise_2.0.1 compiler_4.4.0 fs_1.6.4
## [21] systemfonts_1.0.6 digest_0.6.35 R6_2.5.1 magrittr_2.0.3
## [25] bslib_0.7.0 tools_4.4.0 pkgdown_2.0.9 cachem_1.0.8
## [29] desc_1.4.3