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) 2) 3) 4) Plot the proportion of female hmhlings (p_female) against Temperature, making sure to label your plot appropriately. Provide a written description of the shape of this relationship? What is the correlation between p.female and temperature? Is this correlation signicantly different from zero (Ho: p = 0) at (1 = 0.01? Using the lm() 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. Use the regression line fitted in (3) to predict the expected proportion of female hatchlings at nest temperatures of (i) 32C (ii) (ii) 33C 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