Look at the scatterplot graph. What is the relationship between variable x and variable y? 12 O As variable x increases, variable y increases. 10 O As variable x increases, variable y decreases. O Both variables show a trend toward decreasing values. O No distinct relationship exists between variables x and y. 0. 10 12 6. Variable X Variable Y

Look at the scatterplot graph. What is the relationship between variable x and variable y? 12 O As variable x increases, variable y increases. 10 O As variable x increases, variable y decreases. O Both variables show a trend toward decreasing values. O No distinct relationship exists between variables x and y. 0. 10 12 6. Variable X Variable Y

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Electronic Spreadsheet Applications Compare What-If Analysis using Trial and Error and Goal Seek to the given scenario: Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?
: Employee Graph = (V,E) V(EmployeeGraph) = { Susan, Darlene, Mike, Fred, John, Sander, Lance, Jean, Brent, Fran} E(EmployeeGraph) = {(Susan, Darlene), (Fred, Brent), (Sander, Susan),(Lance, Fran), (Sander, Fran), (Fran, John), (Lance, Jean), (Jean, Susan), (Mike, Darlene)} Draw the picture of the Employee Graph.
A weighted, directed graph is a suitable representation to represent the daily airline routes flown by a small airline. The airline have the following daily flights: - Three flights from Cape Town to Johannesburg, - Two flights from Johannesburg to Cape Town. - Four flights from Johannesburg to Durban. - Three flights from Durban to Johannesburg. - One flight from Johannesburg to George. - One flight from George to Johannesburg. Draw the graph and answer the questions that follow
You'd like to study social networks. Consider the following 26 people {A,B,C,...,X,Y,Z} in a social network graph. (These people can be thought of as "nodes" or points drawn on a piece of paper.) Here, we'd like to model "followers." How many different ways can we draw arrows between two people from these 26? Here, "A-->B" (A is a follower of B) is not the same as "B-->A" (B is a follower of A). Order matters here. Enter your answer as a whole number.
What does ?_i represent in the context of maximal margin classifiers. λ_i= y_i ((w^T x_i+b))/(||w||) Choose all that apply. a. Cosine similarity b. Geometric margin c. Distance of x_i from hyperplane d. Class boundary
1.Attached is a sample data frame of tweets data extracted between 2016-2022. I want a python code to show the distribution of tweets per year over that time period. 2. I want a python code of a force directed graph of a user like CABI_Plantwise, where i can see the interactions with that account
4. An edge e can be (X) always full, (y) sometimes full, (2) never full; it can be (x') always crossing, (y') sometimes crossing. (z') never crossing. So there are nine possible combinations: (xx) always full and always crossing. (xy') always full and sometimes crossing, and so on. Or are there? Maybe some possibilities are impossible. Let's draw a table: always full sometimes full never full The edge e is: ot Possible Possible always crossing f :2 or or e:1 impossible? impossible? 7° f:1 Possible Possible sometimes crossing or or e:1 impossible? impossible? Possible Possible Possible never crossing or or or impossible? impossible? impossible? Take a piece of paper, complete the 3 x 3 table below by either finding an example illustrating that the combination is possible or by concluding that it is impossible. To do so, you will need the Max Flow Min Cut Theorem plus a bit of your own thinking. Once you have completed the table, select which of the following statements are true: There…
Correct answer will be upvoted else Multiple Downvoted. Computer science. The train framework can be addressed as directions on a 2D plane. The I-th train beginning at the base end is at first at (i,0) and will be at (i,T) after T minutes, and the I-th train beginning at the left end is at first at (0,i) and will be at (T,i) after T minutes. All trains show up at their objections following 101 minutes. In any case, Gildong observed that a few trains booked to leave at a particular time, at the same time, are extremely hazardous. As of now, n trains are planned to leave from the base end and m trains are booked to withdraw from the left end. In the event that two trains are both at (x,y) simultaneously for some x and y, they will collide with one another. In this way, he is requesting you to observe the base number from trains that ought to be dropped to forestall every such accident. Input Each test contains at least one experiments. The main line contains the number of…
plz run in r studio n answer all the questions biostats........ Worksheet T tests, Wilcoxon’s test, Mc Nemar’s TestAnswer the following questions using R studio 4. Test the Null hypothesis that the Dart scores from Group A is notdifferent from Group B and or Group A scores are greater than orless than Group B.Group A: 1,2,2,3,3,4,4,5,5,6Group B: 1,2,4,5,5,5,6,6,7,95. The pre and post tests scores for a randomly selected group ofstudents before and after exposure to new teaching methods areas follows:Pretest: 10,5,8,6,4,5,5,8,7,6,10,5, 8,6,4,5,5,8,7,6Posttest: 10,6,8,8,5,4,5,9,10,7, 8,5,4,5,9,10,7,10,6,8Is there a significant difference in performance before compared toafter exposure to a different teaching method?6. Results for blood glucose levels independently taken for thesame individuals before and after treatment with sucrose solutionto determine impacts of carbohydrates on blood sugar levels areoutlined below:before : 200.1, 190.9, 192.7, 213, 241.4, 196.9, 172.2, 185.5,…
Homework due Sep 15, 2022 03:59 +04 Exercise 1 In Exercise 1, we will calculate the chance homophily for an arbitrary characteristic. Homophily is the proportion of edges in the network whose constituent nodes share that characteristic. How much homophily do we expect by chance? If characteristics are distributed completely randomly, the probability that two nodes and y share characteristic a is the probability both nodes have characteristica. which is the marginal probability of a squared. The total probability that nodes x and y share their characteristic is therefore the sum of the square of the marginal probabilities of each characteristic in the network. Instructions • Create a function marginal_prob that takes a dictionary chars with personal IDs as keys and characteristics as values; it should return a dictionary with characteristics as keys and their marginal probability (frequency of occurence of a characteristic divided by the sum of frequencies of each characteristic) as…
The size of the intersection divided by the size of the union is used to determine how similar two papers are (each having unique words). For instance, the similarity between 1, 5, 3 and 1, 7, 2, 3 is 0, 4, as the intersection has size, if the documents are made up of integers.the union has a size of 2, andWe have a large collection of documents (each with a unique value and a corresponding ID), where the similarity is deemed to be "sparse":This means that there is a high likelihood of resemblance between any two randomly chosen papers. O. Create an algorithm that provides a list of document ID pairings together with the corresponding similarity.Only the pairings with similarity larger than 0 should be printed. Documents that are empty should not
Given a graph of friends who have different interests, determine which groups of friends have the most interests in common. Then Explanation 0 Node pair (2,4) shares only 1 interest (4) and node pair (1,3) shares 1 interest (3). v Input Format for Custom Testing use a little math to determine a value to return. • Node pair (1,2) shares 2 interests (interests 2 and 3) and node pair (2, 3) shares also 2 interests (interest 1 and 3). So, the maximum Each pair of friends_nodes = 4 friends is connected by the following interests: Input from stdin will be processed as follows and passed to the function. The graph will be represented as a series of nodes numbered consecutively from 1 to friends_nodes. Friendships have evolved based on interests which will be represented as weights in the graph. Any members who share the same interest are said to be connected by that interest. Once the node pairs with the maximum number of shared interests are determined, multiply the friends_nodes of the…