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 |
Let's use excel:
Step 1) First enter the given data set in excel columns.
Step 2) Then click on Data >>> Data Analysis >>>Regression >>>>OK
Step 3) Input Y Range: Select the data of column "B"
Input X Range: Select the data of column "A"
Click on Lable
then Click on Ouput Range
Look the following Image
Then Click on OK, we get following result.
From the above output the estimated standard error of regression, sb1 is 0.44 (after rounding upto two decimal places).
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 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 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 6 5 14 19 13 14 5 5 5 20 y 31 26 28 15 22 21 27 15 16 34 ______
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...
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...
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 ...
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...
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...
A random sample of 9 history students produced the following data, first test score, x second test score, y 90 51 36 82 13 15 71 77 82 10 20 18 92 35 53 49 63 85 where x measures the first test score and y measures the second test score. What is the estimate of the y = a x + b regression slope coefficient?