[1] Bears Dataset
   Height    Weight
1  1.9050  92.53284
2  1.8542  92.53284
3  1.8288  88.45051
4  1.8542  89.81129
5  1.8034  92.07925
6  1.7526  84.82177
7  1.8542  96.16158
8  1.8034  87.99692
9  1.8288  84.36818
10 1.9050 104.77984
11 1.8034  96.61517
12 1.7272  81.64663
13 1.8034  83.46100
14 1.7526  74.84274
15 1.8034  95.25440
16 1.8796  86.18255
17 1.7526  90.26488
18 1.8288  80.73944
19 1.8288 104.32625
20 1.9050 102.96547
21 1.8542  93.44003
22 1.8542 103.41906
23 1.8542 103.41906
24 1.9304 122.46994
25 1.9050 108.86217
26 1.9812 123.37712
27 1.9050 117.93402
28 1.9304 124.28431
29 1.9304 124.28431
30 1.9050 123.37712
31 1.9812 138.34567
32 1.8796 145.14956
33 1.9304 122.46994
34 1.9304 126.09868
35 1.8796 121.56276
36 1.9812 128.36664
37 1.8796 111.13013
38 1.8034  85.27537
39 1.8542  88.45051
40 1.8542  80.28585
41 1.9050 108.86217
42 1.8542  92.98644
43 1.8288 103.41906
44 1.9304 117.48042
45 1.9050 124.73790
46 1.9558 121.56276
47 1.9558 124.28431
[1] Regression Summary of Bears Dataset:

Call:
lm(formula = Weight ~ Height, data = bears)

Residuals:
    Min      1Q  Median      3Q     Max 
-20.595  -7.088  -0.486   6.520  38.574 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  -314.86      47.03  -6.695 2.89e-08 ***
Height        224.22      25.15   8.914 1.68e-11 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 10.76 on 45 degrees of freedom
Multiple R-squared: 0.6384,	Adjusted R-squared: 0.6304 
F-statistic: 79.46 on 1 and 45 DF,  p-value: 1.676e-11