The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 10 students in a beginning computer-science course. The results were as follows. Calculate the estimated standard error of regression, sb1. (Give your answer correct to two decimal places.)
x | 6 | 5 | 14 | 19 | 13 | 14 | 5 | 5 | 5 | 20 |
y | 31 | 26 | 28 | 15 | 22 | 21 | 27 | 15 | 16 | 34 |
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The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were...
The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 20 students in a beginning computer-science course. The results were as follows. x 3 15 19 14 21 22 14 21 20 15 17 18 7 5 4 19 17 12 18 13 y 19 19 24 36 27 26 25 28 17 27 21 24 18 18 14 28 21 22 20 21 (a) Find the equation of the line of...
The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 10 students in a beginning computer-science course. The results were as follows. Calculate the estimated standard error of regression, sb1. (Give your answer correct to two decimal places.) x 4 16 20 13 22 21 15 20 19 16 y 20 18 23 35 26 25 26 29 18 26
The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 10 students in a beginning computer-science course. The results were as follows. Calculate the estimated standard error of regression, sb1. (Give your answer correct to two decimal places.) x 17 20 21 20 7 7 15 19 22 7 y 24 26 23 30 24 15 32 33 19 18
The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 10 students in a beginning computer-science course. The results were as follows. Calculate the estimated standard error of regression, sb1. (Give your answer correct to two decimal places.) x 5 18 8 15 13 19 13 22 7 12 y 16 25 35 18 22 19 33 21 22 33
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...
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 ...
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. Complete parts (a) through (e) below. B: Click the icon to view the absence count and final exam score data Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least squares regression line treating number of absences as the explanatory...
no. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.3 85.5 82.8 81.2 78.3 73.4 64.4 70.9 64.7 66.4 n 3 .997 4 .950 5 .878 6 .811 7 .754 8 .707 9 .666 10 .632 11 .602 12 .576 13 .553 14 .532 15 .514 16 .497 17 .482 18 .468 19 .456 20 .444 21 .433 22 .423 23 .413 24 .404 25 .396 26 .388 27 .381 28...
looking for an explanation 15) As part of a study at a large university, data were collected on 224 freshmen computer science 1 (CS) majors in a particular year. The researchers were interested in modeling y, a student's grade point average (GPA) after three semesters, as a function of the following independent variables (recorded at the time the students enrolled in the university): xi-average high school grade in mathematics (HSM) x2 = average high school grade in science (HSS) x3-...
Twenty-one daily responses of stack loss (y) (the amount of ammonia escaping) were measured with air flow x1, temperature x2, and acid concentration x3. Obtain a matrix plot of scatter plots for all pairs of variables using Minitab, and state your conclusion based on this graph. [5 marks] Find a multiple linear regression model for this data using Minitab. [5 marks] Check the significance of the model using ANOVA via Minitab and state your conclusion at 5% alpha level. [5...