(Code in R language) Consider the data presented in the Trades.csv file (Table given below). This file represents 35 days worth of data from a brokerage house that is trying to predict the number of trade executions per day as a function of the number of incoming phone calls to the a)Find and interpret the standard error and the coefficient of determination b)Is the number of incoming phone calls a significant predictor for the number of trade executions in a linear model? c)Find the 95% confidence interval for the mean number of trades when there are 2000 incoming D)Find the 95% prediction interval for a specific prediction of trades when there are 2000 incoming Trades.csv file Day Calls Executions 1 2591 417 2 2146 321 3 2185 362 4 2245 364 5 2600 442 6 2510 386 7 2394 370 8 2486 376 9 2483 463 10 2297 389 11 2106 302 12 2035 266 13 1936 339 14 1951 369 15 2292 403 16 2094 319 17 1897 306 18 2237 397 19 2328 365 20 2078 330 21 2134 312 22 2192 340 23 1965 339 24 2147 364 25 2015 295 26 2046 292 27 2073 379 28 2032 294 29 2108 329 30 1923 274 31 2069 326 32 2061 306 33 2010 352 34 1913 290 35 1904 283

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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(Code in R language)

  1. Consider the data presented in the Trades.csv file (Table given below). This file represents 35 days worth of data from a brokerage house that is trying to predict the number of trade executions per day as a function of the number of incoming phone calls to the

a)Find and interpret the standard error and the coefficient of determination

b)Is the number of incoming phone calls a significant predictor for the number of trade executions in a linear model?

c)Find the 95% confidence interval for the mean number of trades when there are 2000 incoming

D)Find the 95% prediction interval for a specific prediction of trades when there are 2000 incoming

Trades.csv file

Day Calls Executions
1 2591 417
2 2146 321
3 2185 362
4 2245 364
5 2600 442
6 2510 386
7 2394 370
8 2486 376
9 2483 463
10 2297 389
11 2106 302
12 2035 266
13 1936 339
14 1951 369
15 2292 403
16 2094 319
17 1897 306
18 2237 397
19 2328 365
20 2078 330
21 2134 312
22 2192 340
23 1965 339
24 2147 364
25 2015 295
26 2046 292
27 2073 379
28 2032 294
29 2108 329
30 1923 274
31 2069 326
32 2061 306
33 2010 352
34 1913 290
35 1904 283
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