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Using my regression equation from the photo: Assumptions: Male = 0 or 1 Sleep is measured in minutes per week slept at night (excluding naps) Work is the minutes minutes worked per week. Educ is the years of education attained. Below all ẞvalues is the standard errors. 1. State the null and alternative hypotheses to test whether men sleep more than woman 2. Calculate the test statistic to test the hypotheses in part 13. If the critical value is 2.575 at 1% confidence, explain your decision within the context of this model. 4. State the null and alternative hypothesis to test whether age has an effect on sleeping. 5. Calculate the test statistic for part 4. 6. If the critical value is 3.00 at 5% confidence, explain your decision within the context of this model. Edit: There is no data table, the regression is stated in proper form and can be used to solve. sleep 3840 -0.16work -11.71educ - 8.69age + 0.12age² + 87.75male 235.10 0.018 5.866 11.207 0.133 34.32

Using my regression equation from the photo: Assumptions: Male = 0 or 1 Sleep is measured in minutes per week slept at night (excluding naps) Work is the minutes minutes worked per week. Educ is the years of education attained. Below all ẞvalues is the standard errors. 1. State the null and alternative hypotheses to test whether men sleep more than woman 2. Calculate the test statistic to test the hypotheses in part 13. If the critical value is 2.575 at 1% confidence, explain your decision within the context of this model. 4. State the null and alternative hypothesis to test whether age has an effect on sleeping. 5. Calculate the test statistic for part 4. 6. If the critical value is 3.00 at 5% confidence, explain your decision within the context of this model. Edit: There is no data table, the regression is stated in proper form and can be used to solve. sleep 3840 -0.16work -11.71educ - 8.69age + 0.12age² + 87.75male 235.10 0.018 5.866 11.207 0.133 34.32

MATLAB: An Introduction with Applications
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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Using my regression equation from the photo: Assumptions: Male = 0 or 1 Sleep is measured in minutes per week slept at night (excluding naps) Work is the minutes minutes worked per week. Educ is the years of education attained. Below all ẞvalues is the standard errors. 1. State the null and alternative hypotheses to test whether men sleep more than woman 2. Calculate the test statistic to test the hypotheses in part 13. If the critical value is 2.575 at 1% confidence, explain your decision within the context of this model. 4. State the null and alternative hypothesis to test whether age has an effect on sleeping. 5. Calculate the test statistic for part 4. 6. If the critical value is 3.00 at 5% confidence, explain your decision within the context of this model. Edit: There is no data table, the regression is stated in proper form and can be used to solve. sleep 3840 -0.16work -11.71educ - 8.69age + 0.12age² + 87.75male 235.10 0.018 5.866 11.207 0.133 34.32
Transcribed Image Text:Using my regression equation from the photo: Assumptions: Male = 0 or 1 Sleep is measured in minutes per week slept at night (excluding naps) Work is the minutes minutes worked per week. Educ is the years of education attained. Below all ẞvalues is the standard errors. 1. State the null and alternative hypotheses to test whether men sleep more than woman 2. Calculate the test statistic to test the hypotheses in part 13. If the critical value is 2.575 at 1% confidence, explain your decision within the context of this model. 4. State the null and alternative hypothesis to test whether age has an effect on sleeping. 5. Calculate the test statistic for part 4. 6. If the critical value is 3.00 at 5% confidence, explain your decision within the context of this model. Edit: There is no data table, the regression is stated in proper form and can be used to solve. sleep 3840 -0.16work -11.71educ - 8.69age + 0.12age² + 87.75male 235.10 0.018 5.866 11.207 0.133 34.32
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