Professor Gersch loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 Based on the regression model, what grade would a student get if they studied 10 hours? a. 90.25 b. 107.15 c. 97.0 d. 16.9
Professor Gersch loves, as everyone should, to collect and analyze statistical information.
He wishes to find a relationship between how many hours students study and how they do on their statistics tests.
He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test
and how they did on the test, enters the data into a computer for analysis and presents the results below.
ANALYSIS OF HOURS AND GRADES (n = 16):
HOURS GRADES
Mean: 4.2 75.8
St. Dev: 2.3 10.1
Q0 2.0 34.0
Q1 3.2 53.7
Q2 4.7 78.5
Q3 6.3 86.9
Q4 9.0 97.0
Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS
Rsquared = .985 std error = 0.027 F = 8.52 p = .018
Based on the regression model, what grade would a student get if they studied 10 hours?
| a. |
90.25 |
|
| b. |
107.15 |
|
| c. |
97.0 |
|
| d. |
16.9 |
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
