11. A teacher wants to see how the number of absences affects the student’s final grade. The data from a random sample of nine students is shown. Find the equation of the regression line.
| Absences (x) | 2 | 12 | 10 | 0 | 8 | 7 | 5 | 4 | 6 |
| Final Grade (y) | 90 | 65 | 70 | 92 | 80 | 79 | 84 | 88 | 84 |
11. A teacher wants to see how the number of absences affects the student’s final grade....
QUESTION 8 2.5 The table below shows the number of missed classes and the final grade for a population of 20 students. Calculate the standard deviation for final grade. Round to two decimal places. Missed Classes Final Grade 4 81 7 79 2 93 70 96 84 nono WONONON 90 86 95 65 98 90 60 85 90 70 5 1 80 99 7 68 86 4
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14.25 A teacher wants to check if there was a linear association between the final grade, the number of absences, and gender (s-0 for female, s-1 for male). Treating his class of 100 students as a random sample, Minitab returned the following output
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.1 85.1 82.1 79.6 76.5 72.0 62.3 66.7 63.7 60.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
A teacher wanted to see if social anxiety affects performance on an oral assignment. To examine this, students completed social anxiety scales and were classified into “low,” “average,” and “high” levels of social anxiety. The data presented in the table below are the oral presentation grades (in percentages) earned by the 45 students separated by their social anxiety classification. Conduct the most appropriate statistical analysis to determine whether grades on the oral assignment differed based on level of social anxiety....
U1 100,000, and Merent ways in which the winners els are not replaces after they are drawn) 20 points) An educator wants to see how the number of absences for a student in her class affects the student's final grade. The data obtained from a sample a shown below: No. of absences x 10 12 04 96 65 Final grade y 70 Round final calculations to three (3) decimal points, Compute the correlation coefficient, r= Write an equation of the...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.9 86.0 82.9 80.3 77.4 72.9 63.4 67.7 64.7 61.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
C++: Create a grade book program that includes a class of up to 20 students each with 5 test grades (4 tests plus a Final). The sample gradebook input file (CSCI1306.txt) is attached. The students’ grades should be kept in an array. Once all students and their test scores are read in, calculate each student’s average (4 tests plus Final counts double) and letter grade for the class. The output of this program is a tabular grade report that is...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 89.4 86.6 83.7 81.3 78.3 74.0 64.3 69.0 66.2 63.3 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
The table below gives the number of absences and the overall grade in the class for five randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for using the number of absences to predict a student's overall grade in the class. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a...
The following data represents the number of days absent and the final grade for a sample of college students in a general education course at a large state university. 0 1 2 3 4 5 6 7 8 9 No. of absences Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a) Which variable is the explanatory variable? b) Draw a scatter plot and describe your scatter plot (Direction, Strength, Form). c) Compute the correlation coefficient d)...