In every class, there are some students who speed through their tests while other students continue working on their tests until the very last second. To investigate whether these behaviours affeci students' scores, a researcher collected data on the amount of time students spend on a test and their grades from that test (N = 15). The researcher saved the results of their study to a file called hw6_exams. cv. Load the data into jamovi and answer the following questions. 1. Conduct a regression analysis predicting exam grade from time spent on the test. Paste the resulting model fit table and model coefficients table here . Make sure you include the F-test in the model fit table. 2. Paste an appropriate graph from jamovi. Make sure it includes a regression line . 3. What is the value of the test statistic for the overall model ? 4. What is the degrees of freedom for the overall model ? 5. What is the precise p-value for the overall model? Make sure you report the value to at least three decimal places. 6. Is the overall model significant ? 7. What is the R2 value for the overall model ? What does this R2 value mean in plain language ? 8. What do the results of the overall model mean? 9. What is the value of the test statistic for the predictor? 10. What is the precise p-value for the predictor ? Make sure you report the value to at least three decimal places. 11. Is the predictor significant ? 12. What is the value of the coefficient representing the predictor-outcome relationship ? 13. Interpret the value of this coefficient in plain language
In every class, there are some students who speed through their tests while other students continue working on their tests until the very last second. To investigate whether these behaviours affeci students' scores, a researcher collected data on the amount of time students spend on a test and their grades from that test (N = 15). The researcher saved the results of their study to a file called hw6_exams. cv. Load the data into jamovi and answer the following questions. 1. Conduct a regression analysis predicting exam grade from time spent on the test. Paste the resulting model fit table and model coefficients table here . Make sure you include the F-test in the model fit table. 2. Paste an appropriate graph from jamovi. Make sure it includes a regression line . 3. What is the value of the test statistic for the overall model ? 4. What is the degrees of freedom for the overall model ? 5. What is the precise p-value for the overall model? Make sure you report the value to at least three decimal places. 6. Is the overall model significant ? 7. What is the R2 value for the overall model ? What does this R2 value mean in plain language ? 8. What do the results of the overall model mean? 9. What is the value of the test statistic for the predictor? 10. What is the precise p-value for the predictor ? Make sure you report the value to at least three decimal places. 11. Is the predictor significant ? 12. What is the value of the coefficient representing the predictor-outcome relationship ? 13. Interpret the value of this coefficient in plain language
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In every class, there are some students who speed through their tests while other students continue working on their tests until the very last second. To investigate whether these behaviours affeci students' scores, a researcher collected data on the amount of time students spend on a test and their grades from that test (N =
15). The researcher saved the results of their study to a file called hw6_exams. cv. Load the data into jamovi and answer the following questions.
1. Conduct a regression analysis predicting exam grade from time spent on the test. Paste the resulting model fit table and model coefficients table here . Make sure you include the F-test in the model fit table.
2. Paste an appropriate graph from jamovi. Make sure it includes a regression line .
3. What is the value of the test statistic for the overall model ?
4. What is the degrees of freedom for the overall model ?
5. What is the precise p-value for the overall model? Make sure you report the value to at least three decimal places.
6. Is the overall model significant ?
7. What is the R2 value for the overall model ? What does this R2 value mean in plain language ?
8. What do the results of the overall model mean?
9. What is the value of the test statistic for the predictor?
10. What is the precise p-value for the predictor ? Make sure you report the value to at least three decimal places.
11. Is the predictor significant ?
12. What is the value of the coefficient representing the predictor-outcome relationship ?
13. Interpret the value of this coefficient in plain language
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