A computer engineer needs to know how the efficiency of a new computer program depends on the size of incoming data. Efficiency will be measured by the number of processed requests per hour. Applying the program to data sets of different sizes with the following results. The response variable is the number of processed requests (Y) and to predict it from the size of a data set (X). Estimate the quadratic regression model and use it to find the processed requests when the data size is 14 GB. Data size (GB) X 6 7 7 8 10 10 15 Processed requests Y 50 43 44 37 25 26 15

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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A computer engineer needs to know how the efficiency of a new computer
program depends on the size of incoming data. Efficiency will be measured
by the number of processed requests per hour. Applying the program to
data sets of different sizes with the following results. The response variable
is the number of processed requests (Y) and to predict it from the size of a
data set (X). Estimate the quadratic regression model and use it to find the
processed requests when the data size is 14 GB.
Data size (GB) X 6 7 7 8 10 10 15
Processed requests Y 50 43 44 37 25 26 15

Q.No.3 (a) Modern email servers and anti-spam filters attempt to identify spam emails CLO 3 (06)
and direct them to a junk folder. An information security engineer tries to
confirm that the chance for an email to be spam depends on whether it
contains images or not. The following data were collected on 1000 random
email messages. At a 5% level of significance test hypothesis that being
spam and containing images are independent factors?
With images | No Images
Total
400
Spam
No Spam
Total
160
240
140
300
460
600
700
1000
Transcribed Image Text:Q.No.3 (a) Modern email servers and anti-spam filters attempt to identify spam emails CLO 3 (06) and direct them to a junk folder. An information security engineer tries to confirm that the chance for an email to be spam depends on whether it contains images or not. The following data were collected on 1000 random email messages. At a 5% level of significance test hypothesis that being spam and containing images are independent factors? With images | No Images Total 400 Spam No Spam Total 160 240 140 300 460 600 700 1000
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