Description Usage Arguments Value Author(s) Examples

Regression analysis (one numerical predictor variable) with simplified output.
Wrapper function for `lm`

in package `stats`

.

1 |

`form` |
formula of form y~x, both variables numeric |

`data` |
dataframe supplying y and x above. If one or more of the variables is not in data, then they will be searched for in the parent environment. |

`graph` |
Produce scatterplot with fitted polynomial, together with prediction standard error bands |

`check` |
Asks to produce a lowess or gam curve with approximate 95 fitted line wanders outside the band, then perhaps a linear fit is not appropriate. |

A list of class "GClm". Elements that may be queried include "slope", "intercept", "s" (residual standard error), "R^2" (unadjusted).

Homer White hwhite0@georgetowncollege.edu

1 2 | ```
#To study the relationship between two numerical variables:
lmGC(fastest~GPA,data=m111survey,graph=TRUE)
``` |

```
Loading required package: abd
Loading required package: nlme
Loading required package: lattice
Loading required package: grid
Loading required package: mosaic
Loading required package: dplyr
Attaching package: 'dplyr'
The following object is masked from 'package:nlme':
collapse
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Loading required package: ggformula
Loading required package: ggplot2
Loading required package: ggstance
Attaching package: 'ggstance'
The following objects are masked from 'package:ggplot2':
GeomErrorbarh, geom_errorbarh
New to ggformula? Try the tutorials:
learnr::run_tutorial("introduction", package = "ggformula")
learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix
The 'mosaic' package masks several functions from core packages in order to add
additional features. The original behavior of these functions should not be affected by this.
Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
Attaching package: 'mosaic'
The following object is masked from 'package:Matrix':
mean
The following object is masked from 'package:ggplot2':
stat
The following objects are masked from 'package:dplyr':
count, do, tally
The following objects are masked from 'package:stats':
IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
quantile, sd, t.test, var
The following objects are masked from 'package:base':
max, mean, min, prod, range, sample, sum
Welcome to tigerstats!
To learn more about this package, consult its website:
http://homerhanumat.github.io/tigerstats
Linear Regression
Correlation coefficient r = -0.1406
Equation of Regression Line:
fastest = 124.6956 + -5.8111 * GPA
Residual Standard Error: s = 20.8833
R^2 (unadjusted): R^2 = 0.0198
```

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