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I attached the question and I write down the data that you need them to answer t

ID: 3059851 • Letter: I

Question

I attached the question and I write down the data that you need them to answer the question if you could use R software to answer the question please post the commands for R software with the answer with explanations to make it clear to understand. Thanks a lot


Data for exercise 9 and exercise 25:


> ex0921

Species Weight Ingestion Organic
1 Hydrobia neglecta 0.20 0.57 18.00   
2 Hydrobia ventrosa 0.20 0.86 17.00   
3 Tubifex tubifex 0.27 0.43 29.70   
4 Hyalella azteca 0.32 0.43 50.00   
5 Potamopyrgus jenkinsi 0.46 2.70 14.40
6 Hydrobia ulvae 0.90 0.67 13.00   
7 Nereis succinea 5.80 20.20 6.80
8 Pteronarcys scotti 8.40 1.49 93.00
9 Orchestia grillus 12.40 4.40 88.00
10 Arenicola grubii 20.40 240.00 2.20   
11 Thoracophelia mucronata 40.00 230.00 1.00   
12 Ilyoplax pusilla 53.00 300.00 4.20
13 Uca pubnax 63.30 19.90 51.00
14 Scopimera globosa 65.00 50.00 23.60   
15 Pectinaria gouldii 80.00 1667.00 0.70
16 Abarenicola pacifica 380.00 3400.00 1.20
17 Abarenicola claparedi 380.00 9400.00 0.40
18 Arenicola marina 930.00 4700.00 0.64
19 Macrophthalmus japonicus 2050.00 4680.00 2.10


> ex1125
Species Weight Ingestion Organic Bivalve
1 Hydrobia neglecta 0.20 0.57 18.00 no
2 Hydrobia ventrosa 0.20 0.86 17.00 no
3 Tubifex tubifex 0.27 0.43 29.70 no
4 Hyalella azteca 0.32 0.43 50.00 no
5 Potamopyrgus jenkinsi 0.46 2.70 14.40 no
6 Hydrobia ulvae 0.90 0.67 13.00 no
7 Nereis succinea 5.80 20.20 6.80 no
8 Pteronarcys scotti 8.40 1.49 93.00 no
9 Orchestia grillus 12.40 4.40 88.00 no
10 Arenicola grubii 20.40 240.00 2.20 no
11 Thoracophelia mucronata 40.00 230.00 1.00 no
12 Ilyoplax pusilla 53.00 300.00 4.20 no
13 Uca pubnax 63.30 19.90 51.00 no
14 Scopimera globosa 65.00 50.00 23.60 no
15 Pectinaria gouldii 80.00 1667.00 0.70 no
16 Abarenicola pacifica 380.00 3400.00 1.20 no
17 Abarenicola claparedi 380.00 9400.00 0.40 no
18 Arenicola marina 930.00 4700.00 0.64 no
19 Macrophthalmus japonicus 2050.00 4680.00 2.10 no
20 Macoma balthica (bivalve) 5.10 4.49 20.00 yes
21 Portlandia arctica (bivalve) 19.90 3.54 8.80 yes
22 Scrobicularia plana (bivalve) 380.00 43.00 3.40 yes

Ingestion Rates of Deposit Feeders. The ingestion rates and organic consumption percentages of deposit feeders were considered in Exercise 9.21. The data set ex1125 repeats these data, but this time with three additional bivalve species included (the last three). The researcher wished to see if ingestion rate is associated with the percentage of organic matter in food, after accounting for animal weight, but was unsure about whether bivalves should be included in the analysis. Analyze the data to address this question of interest. (Data from L. M. Cammen, Ingestion Rate: An Empirical Model for Aquatic Deposit Feeders and Detritivores," Oecologia 44 (1980): 303-10.)

Explanation / Answer

Here we want to check there is any relation/association between Ingestion and weight as well as ngestion and organic .

>library(data.table)
>data=fread(file.choose())
>View(data)

Using correlation test we do this.

> cor.test(data$Ingestion,data$Weight)

Pearson's product-moment correlation

data: data$Ingestion and data$Weight

t = 3.1097, df = 17, p-value = 0.00637

alternative hypothesis: true correlation is not equal to 0

95 percent confidence interval:

0.2036411 0.8294934

sample estimates:

cor

0.6021538

Conclustion = there is 60% correlation between  Ingestion and weight and which is positive

2)

> cor.test(data$Ingestion,data$Organic)

Pearson's product-moment correlation

data: data$Ingestion and data$Organic

t = -1.7728, df = 17, p-value = 0.09417

alternative hypothesis: true correlation is not equal to 0

95 percent confidence interval:

-0.72003341 0.07214209

sample estimates:

cor

-0.3950108

Conclustion = there is 39% correlation between  Ingestion and Organic and which is negative

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