Q: Help in understanding and solving this example on r studio Rmarkdown, thanks ahead.

Save the data set Lung Capacity into variable b ```{r}

``` Using inline code, print the header of the data set.

Using inline code, state the mean age of the data set, medain age, and mode height

Display the box and whisker plot for height ```{r}

```

Display a bar graph for Gender vs Smoker ```{r}

```

Dispaly a scatter plot for Lung Capacity vs Age. The color of the points should be gold ```{r}

```

Using inline code, display the Correlation Coffiecient for a) Lung Capacity vs Age b) Age vs Height.

Display a scatter plot Lung Capacity vs Height a) plot the line regression line b) Female points are -green and Males points are blue ```{r}

```

Gender	Height	Smoker	Age	Lung Capacity
Male	70	no	47	5673
Male	70	no	67	5632
Male	68	no	36	5712
Male	71	no	68	5723
Male	72	yes	58	5484
Male	69	yes	19	5308
Male	72	yes	40	5133
Male	71	no	82	5550
Male	70	no	22	5614
Male	71	yes	35	5415
Male	71	no	45	5692
Male	69	no	21	5787
Male	67	no	71	5518
Male	65	no	61	5787
Male	70	no	65	5551
Male	70	no	45	5625
Male	68	yes	39	5388
Male	73	no	37	5861
Male	77	no	39	6261
Male	66	yes	40	5205
Male	71	no	72	5697
Male	72	no	42	5770
Male	68	yes	37	5399
Male	64	yes	50	5042
Male	66	yes	59	5180
Male	72	no	41	5764
Male	68	yes	54	5438
Male	70	no	58	5557
Male	72	no	69	5793
Male	67	yes	49	5254
Male	68	yes	30	5439
Male	61	yes	28	4735
Male	76	no	69	6228
Male	73	no	69	5929
Male	71	no	35	5683
Male	71	no	46	5655
Male	70	no	46	5555
Male	71	no	38	5734
Male	65	yes	23	5132
Male	76	no	42	6212
Female	72	no	54	5843
Female	74	no	66	5959
Female	69	no	50	5530
Female	70	no	32	5594
Female	71	no	32	5655
Female	71	no	45	5657
Female	69	yes	40	5463
Female	70	no	44	5585
Female	68	yes	37	5397
Male	66	yes	59	5203
Male	67	no	49	5093
Male	67	no	41	5116
Male	70	no	35	5400
Male	63	yes	23	4713
Male	63	yes	41	4644
Male	63	yes	42	4690
Male	63	yes	55	4651
Male	67	no	58	5072
Male	69	no	59	5285
Female	69	no	42	5278
Female	70	no	46	5485
Female	67	no	40	5122
Female	66	yes	51	4959
Female	67	yes	38	4636
Female	64	no	67	5547
Female	65	no	32	5484
Female	68	no	45	5402
Female	65	no	36	5531
Female	68	no	63	5164
Female	73	yes	46	4641
Female	71	no	26	5530
Female	70	no	34	5401
Female	68	no	73	5187
Female	66	no	28	5010
Female	72	no	32	5625
Female	65	yes	64	4945
Female	65	yes	50	4925
Female	65	yes	79	4900
Female	65	yes	47	4874
Female	63	yes	58	4686
Female	63	no	51	5152
Female	71	yes	54	4823
Female	70	yes	43	4940
Female	70	no	43	5206
Female	71	yes	39	4858
Female	68	no	40	5233
Female	63	no	50	5776
Female	71	no	19	5594
Female	67	no	50	5075
Female	67	no	38	5101
Female	67	no	28	5156
Female	64	yes	52	4783
Female	59	yes	33	4234
Female	63	yes	29	4625
Female	65	yes	53	4906
Female	62	yes	54	4620
Female	68	no	43	5187
Female	73	no	69	5760
Female	62	yes	47	4553
Female	66	yes	55	4980