use r-studio please

temperature	n.eggs	n.female	n.male	p.female
31.16	10	5	1	0.5
31.81	9	2	5	0.222222222
32.65	10	1	8	0.1
31.02	13	8	0	0.615384615
31.65	14	3	4	0.214285714
31.78	12	2	7	0.166666667
32.12	16	1	10	0.0625
31.56	11	7	1	0.636363636
32.89	11	0	8	0
31.62	12	3	7	0.25
31.95	13	3	9	0.230769231
32.29	9	1	7	0.111111111
31.46	8	4	0	0.5
31.08	12	5	0	0.416666667
32.77	16	0	15	0
30.31	13	8	0	0.615384615
32.23	12	1	9	0.083333333
31.72	8	1	4	0.125
32.31	11	2	8	0.181818182
31.96	16	3	5	0.1875
32.95	17	2	15	0.117647059
30.98	19	11	0	0.578947368
32.65	6	0	3	0
32.87	17	0	16	0
31.7	15	8	4	0.533333333
30.23	11	7	0	0.636363636
31.99	11	2	7	0.181818182
31.34	18	5	5	0.277777778
32.18	19	3	12	0.157894737
31.87	14	6	6	0.428571429
32.14	16	3	8	0.1875
31.89	12	6	3	0.5
32.35	10	0	5	0
31.53	12	6	2	0.5
31.23	14	6	0	0.428571429

1) Plot the proportion of female hatchlings (premale) against Temperature, making sure to label your plot appropriately. Provide a written description of the shape of this relationship? [8mg] 2) What is the correlation between p.female and temperature? Is this correlation signicantly different from zero (Ho: p = 0) at (1 = 0.01? [10 m] 3) Using the 1m() function, fit a regression model, and provide estimates for the intercept and slope of the fitted regression line. Provide a written description of what the slope parameter represents for this model, making particular reference to the numeric value in your answer. [5 Big] 4) Use the regression line fitted in (3) to predict the expected proportion of female m5; at nest temperatures of (i) 32C [2 mg] (ii) 330C [2 pts] a) Based on these values, and thinking about the range of observations that are possible, what would you interpret about the general applicability of this model? [2 pvtvsv]