Question
Data: FisheryID Biomass Metal Species Area 1 458 0.081 11 147 2 395 0.755 11 167 3 443 0.341 7 203 4 511 0.388 8
Data:
FisheryID | Biomass | Metal | Species | Area |
1 | 458 | 0.081 | 11 | 147 |
2 | 395 | 0.755 | 11 | 167 |
3 | 443 | 0.341 | 7 | 203 |
4 | 511 | 0.388 | 8 | 218 |
5 | 375 | 0.355 | 10 | 176 |
6 | 513 | 0.303 | 14 | 166 |
7 | 374 | 0.685 | 5 | 144 |
8 | 541 | 0.399 | 10 | 183 |
9 | 338 | 0.424 | 14 | 160 |
10 | 400 | 0.499 | 11 | 161 |
11 | 414 | 0.344 | 8 | 143 |
12 | 371 | 0.373 | 12 | 145 |
13 | 430 | 0.498 | 12 | 150 |
14 | 432 | 0.333 | 9 | 167 |
15 | 452 | 0.322 | 12 | 157 |
16 | 457 | 0.844 | 8 | 187 |
17 | 368 | 0.612 | 10 | 151 |
18 | 527 | 0.161 | 7 | 205 |
19 | 440 | 0.518 | 10 | 183 |
20 | 410 | 0.773 | 10 | 170 |
21 | 406 | 0.366 | 11 | 145 |
22 | 577 | 0.332 | 11 | 176 |
23 | 377 | 0.325 | 12 | 154 |
24 | 423 | 0.359 | 15 | 155 |
25 | 349 | 0.313 | 7 | 133 |
26 | 538 | 0.087 | 6 | 182 |
27 | 338 | 0.504 | 10 | 148 |
28 | 408 | 0.211 | 6 | 156 |
29 | 389 | 0.661 | 10 | 136 |
Consider the explanatory variables [heavy metal concentration (Metal - measured in mg/g), number of fish species in the fishery (Species), and the area of the fishery (Area - measured in acres)] and use them to attempt to predict a fishery's total biomass (Biomass - measured in g/m2). The data set is included on Blackboard as Fisheries.csv. It includes a random sample of 29 wild fisheries.
a. Produce a residual plot and a normal probability plot of the residuals. Copy and paste them into your document.
b. Discuss any violations of the model assumptions using the graphs from part
c. Is it meaningful to interpret the y-intercept in this problem? Why or why not?
d. Interpret the slope of the regression line (in context of this data set).
e. Report the 95% confidence interval for the slope.
f. Test whether the slope is significant using a significance level of 0.05. State the null and alternative hypotheses, the test statistic, and the p-value. Make a decision in terms of the problem.
g. State and interpret the coefficient of determination.
h. Predict the Biomass of a fishery that is 165 acres. Show your calculations.
i) Produce a 95% confidence interval for the mean Biomass of all 165 acre fisheries.
j) Produce a 95% prediction interval for the Biomass of a single 165 acre fishery.
k) Predict the Biomass of a fishery that is 215 acres. Show your calculations.
l) Produce a 95% confidence interval for the mean Biomass of all 215 acre fisheries.
m) Produce a 95% prediction interval for the Biomass of a single 215 acre fishery.
n) Compare the confidence intervals in parts i) and j). Which has the smallest width? Is this surprising? Why or why not?
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