Simple Regression in Class Example StudentID Exam Score 10 Hours Studied 100 25 225 7 2...
The data below are the scores of 10 randomly selected students from a statistics class and the number of hours they studied for the exam. Construct a interval for y, the score on the final exam, given x -7 hours,5.04x+6.11 and s -6.35 허허허허허워 허허허허 Scones, y O55.43 <y< 78.19 O 79.16 <y< 112.34 074.54 < y < 10830 77.21c y < 110.45 The data below are the scores of 10 randomly selected students from a statistics class and the...
2. This week, we studied the test score Y versus number of hours, X, spent on test preparation, of a student in a French class of 10 students with the collected results shown below Number of hours studied Test score 31 10 14 73 37 12 60 91 21 84 17 (a) Use linear normal regression analysis method or the least-squares approximation method to predict the average test score of a student who studied 12 hours for the test (b)...
In a simple linear regression analysis, the following sum of squares are produced: ∑(y−y¯)2=500 ∑(y−y′)2=100 ∑(y′−y¯)2=400 The proportion of the variation in Y that is explained by the variation in X is: a.) 80% b.) 20% c.) 50% d.) 25%
A multiple regression model is to be constructed to predict the final exam score of a university student doing a particular course based upon their mid-term exam score, the average number of hours spent studying per week and the average number of hours spent watching television per week. Data has been collected on 30 randomly selected individuals: show data a) Find the multiple regression equation using all three explanatory variables. Assume that xi is mid-term score, x2 is hours studying...
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of colege students in a general educanion course at a large state university Complete parts (a) through (e) below Click the icon to view the absence count and final exam score data Cick the icon to view a table of critical values for the comelation coefficient (a) Find the least-squares regression Iine treating number of absences as the explanatory variable and...
Run the regression of scores on a exam (Scores) on the three variables "Hours (worked)", "Beers (consumed)" and the dummy variable for "Male". Score Hours Beers M = 1 87 7 2 0 56 2 5 1 34 1 7 1 87 6 1 0 92 11 2 0 13 2 9 1 34 0 6 1 56 4 3 0 95 10 1 0 77 7 3 0 Which of the following statements is incorrect Select one: a. All...
Please help me do it. And please tell me the way you do it, thank you:) 3. Eight students were sampled from a school with their final exam scores, Y, and hours studied, X. Assume the linear regression model is appropriate. hours studied 8 9 5 6 7 10 8 8 exam scores 78 85 65 70 75 90 82 80 2x61, y 625, 483 y,2 49283 , 2xyi-4855 (xi-x)2 17.875 , Oz_y)2 454.875 , (xī_x)(yi-у) 89.375 (a) Write down...
Two freshman algebra classes were studied, one of which used laptop computers at school and at home, while the other class did not. In each class, students were given a survey at the beginning and end of the semester, measuring his or her technological level. The scores were recorded for the end of semester survey (x) and the final examination (y) for the laptop group. The data and the MINITAB printout are shown here. Student Posttest Final Exam Student Posttest ...
2. (Based on Stock & Watson "Introduction to Econometrics 6th ed., Exercise 4.5.) A professor decides to run an experiment to measure the effect of time pressure on final exam scores. He gives each of the 400 students in her course the same final exam, but some students have 90 minutes to complete the exam, while others have 120 minutes. Each student is randomly assigned one of the examination times, based on the flip of a coin. Let y denote...
I need help with - (c) Predict the final exam score for a student who misses five class periods. - at the bottom. Thank you! The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Number of absences, x Final exam score, y 0 88.5 1 86.1 2 83.2 3 81.6 4 77.4 5 74.6 6 65.3 7 ...