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

Please use all the given equations above to answer (e) please show the solution in details. I will rate it. Thanks

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A regression coefficient is given  Match the  correct equation with answers given below Y =0.00114x + 2.53 Y=1.662x  +  83.34 Y = -1.04x   +   50.3  Y= -0.667x    +  52.6

1.64 and 1.63 is incorrect please help ()()))

An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:.   Summary measures       Multiple R 0.9689       R-Square 0.9387       Adj R-Square 0.9212       StErr of Estimate 72.218                 Regression coefficients         Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.

The regression line for Y vs X is given by Y = 0.82X + 59.1. The standard deviations for X and Y are 1.5 and 2.2 respectively. Suppose now we construct a regression line that uses Y to predict X. The predicted average increase of X when Y is increased by 1 unit is ______________. (Give your answer correct to 2 decimal places.)

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3. Regression analysis breaks scores on the DV into... (explain and give equations)

Below table contains a data sample where X is the independent, and Y the dependent variable. Using the data, please conduct a regression analysis. Determine first the regression equation with the help of below graph and table, then answer all the questions. 1. The value of cell a is 2. The value of cell b is 3: The value of cell c is 4: The value of cell d is 5: The value of cell e is 6: The value of cell f is 7: The value of cell g is 8. The value of cell h is 9: The value of cell i is 10: The value of cell j is 11: The value of cell k is 12: The value of cell l is 13: The value of cell m is 14: The value of cell n is 15: The value of cell o is 16: The value of cell p is 17: The value of cell q is 18: The value of cell r is 19: The value of cell s is 20: The value of cell t is 21: The value of cell u is 22: The value of cell v is 23: The value of cell w is 24: The value of cell x is 25: The value of cell y is 26: The value of cell z is 27: The value of cell aa is 28: The value of cell…