Deer Foods Water Cover
1     6     2     2     2
2     6     1     1     1
3     6     0     2     1
4     4     0     2     1
5     6     2     1     2
6     8     1     2     1
7     4     0     1     1
8     6     4     0     2
9     6     0     3     1
10    6     2     2     0
11    8     3     1     0
12    4     2     0     0
13    8     1     3     2
14    4     1     0     1
15    8     3     1     2
16    4     1     0     1
17    6     4     1     1
18    2     1     1     2
19    4     2     0     0
20    4     4     2     0
21    8     1     2     3
22    4     1     0     1
23    8     3     2     1
24    4     2     0     0
25    8     1     2     3
26    4     2     0     0
27    8     2     3     1
28    4     0     1     1
29    8     2     3     1
30    4     1     0     1

Call:
lm(formula = Deer ~ Foods, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.4451 -1.4451 -0.1448  1.8552  2.5549 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   5.0952     0.5677   8.975 9.89e-10 ***
Foods         0.3499     0.2827   1.238    0.226    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.809 on 28 degrees of freedom
Multiple R-squared:  0.05188,   Adjusted R-squared:  0.01802 
F-statistic: 1.532 on 1 and 28 DF,  p-value: 0.2261

Call:
lm(formula = Deer ~ Water, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.3766 -0.4644 -0.2887  0.6234  2.6234 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   4.2887     0.4198  10.217 5.98e-11 ***
Water         1.0879     0.2570   4.232 0.000225 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.451 on 28 degrees of freedom
Multiple R-squared:  0.3901,    Adjusted R-squared:  0.3684 
F-statistic: 17.91 on 1 and 28 DF,  p-value: 0.0002248

Call:
lm(formula = Deer ~ Cover, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4058 -1.3792 -0.4058  1.1208  3.2367 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   4.7633     0.5207   9.148 6.62e-10 ***
Cover         0.8213     0.3777   2.174   0.0383 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.719 on 28 degrees of freedom
Multiple R-squared:  0.1444,    Adjusted R-squared:  0.1139 
F-statistic: 4.727 on 1 and 28 DF,  p-value: 0.03831

Call:
lm(formula = Deer ~ Cover + Foods + Water, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.5708 -0.3687  0.0799  0.4898  2.5083 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   2.8019     0.5999   4.671 8.02e-05 ***
Cover         0.5888     0.2960   1.989 0.057334 .  
Foods         0.5492     0.2040   2.692 0.012257 *  
Water         1.0422     0.2375   4.387 0.000169 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.281 on 26 degrees of freedom
Multiple R-squared:  0.5587,    Adjusted R-squared:  0.5078 
F-statistic: 10.97 on 3 and 26 DF,  p-value: 7.734e-05

Call:
lm(formula = Deer ~ Foods + Water, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.6915 -0.5427  0.1238  0.6371  1.9691 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   3.3821     0.5522   6.125 1.52e-06 ***
Foods         0.4941     0.2129   2.321   0.0281 *  
Water         1.1664     0.2414   4.832 4.78e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.349 on 27 degrees of freedom
Multiple R-squared:  0.4916,    Adjusted R-squared:  0.4539 
F-statistic: 13.05 on 2 and 27 DF,  p-value: 0.0001082

Analysis of Variance Table

Model 1: Deer ~ Cover + Foods + Water
Model 2: Deer ~ Foods + Water
  Res.Df    RSS Df Sum of Sq Pr(>Chi)  
1     26 42.658                        
2     27 49.148 -1     -6.49  0.04671 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1