The response variable is Peso and the predictor variable is Altura.
The following objects are masked _by_ .GlobalEnv:
altura, peso
| Minimum | Lower Quartile | Median | Mean | Upper Quartile | Maximum | Standard Deviation | Missing Values | |
|---|---|---|---|---|---|---|---|---|
| peso | 58 | 69.75 | 73.5 | 74.5000 | 81.25 | 92 | 10.202495 | 0 |
| altura | 162 | 169.75 | 175.5 | 176.4167 | 180.75 | 196 | 9.931203 | 0 |
Error in FUN(X[[i]], ...): objeto 'Altura' no encontrado
The following objects are masked _by_ .GlobalEnv:
altura, peso
1 2 3 4 Sum
4 0 0 0 2 2
3 0 0 0 1 1
2 0 3 1 0 4
1 3 1 1 0 5
Sum 3 4 2 3 12
Warning in markdown::markdownToHTML(out, output, encoding = "UTF-8", ...): stylesheet must either be valid CSS or
a file containing CSS!
The term which is significant to 1% is
altura with an estimate of 0.8770259 and P-Value of 0.0004106357
Call:
lm(formula = peso ~ altura, data = peso.altura)
Residuals:
Min 1Q Median 3Q Max
-6.872 -4.084 -1.196 3.038 10.005
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -80.2220 29.8888 -2.684 0.022934 *
altura 0.8770 0.1692 5.184 0.000411 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 5.572 on 10 degrees of freedom
Multiple R-squared: 0.7288, Adjusted R-squared: 0.7017
F-statistic: 26.87 on 1 and 10 DF, p-value: 0.0004106
Error in FUN(X[[i]], ...): objeto 'Altura' no encontrado
Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...): plot.new has not been called yet
A separate html page showing the residual analysis and model validity checking for peso.altura.lm is at peso.altura.lm.Validity.html
Analysis of Variance Table
Response: peso
Df Sum Sq Mean Sq F value Pr(>F)
altura 1 834.49 834.49 26.875 0.0004106 ***
Residuals 10 310.51 31.05
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1