Data for Exercise 2.56 and Example 2.4

Ronbrown2

## Format

A data frame/tibble with 150 observations on three variables

depth

ocean depth (in meters)

temperature

ocean temperature (in Celcius)

salinity

ocean salinity level

## References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

## Examples


plot(salinity ~ depth, data = Ronbrown2)

model <- lm(salinity ~ depth, data = Ronbrown2)
summary(model)
#>
#> Call:
#> lm(formula = salinity ~ depth, data = Ronbrown2)
#>
#> Residuals:
#>      Min       1Q   Median       3Q      Max
#> -0.15739 -0.12286 -0.09847  0.09494  0.44750
#>
#> Coefficients:
#>               Estimate Std. Error t value Pr(>|t|)
#> (Intercept)  3.520e+01  2.702e-02 1302.97   <2e-16 ***
#> depth       -9.212e-04  5.332e-05  -17.28   <2e-16 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 0.1818 on 148 degrees of freedom
#> Multiple R-squared:  0.6685,	Adjusted R-squared:  0.6663
#> F-statistic: 298.5 on 1 and 148 DF,  p-value: < 2.2e-16
#>
plot(model, which = 1)

rm(model)