When you run a regression, you choose which variable is your Y variable and which variable(s) is/are your X variable(s). What does that decision represent?     1   A claim of causation. 2   A failure to reject the null hypothesis. 3   An attempt to find correlation. 4   A desire to minimize RSS. 5   None of these

The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year.  Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given.  Sick Days=14.310162−0.2369(Age)   se=1.682207se=1.682207  Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.

The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales   Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting​ sales, where December is the reference month. Units=enter your response here+​(enter your response here​)•Year+​(enter your response here​)•Jan+​(enter your response here​)•Feb+​(enter your response here​)•Mar+​(enter your response here​)•Apr+​(enter your response here​)•May+​(enter your response here​)•Jun+​(enter your response here​)•Jul+​(enter your response here​)•Aug+​(enter your response here​)•Sep+​(enter your response here​)•Oct+​(enter your response here​)•Nov ​(Round to the nearest integer as​ needed.)   Month Year Units   Jan 1 39,813   Feb 1 40,078   Mar 1 47,439   Apr 1 47,298   May 1 49,212…

Interpret the estimated education coefficient.  Is the estimate of the constant statistically significant at the 5% level? Explain how you reached this conclusion. Imagine you want to test with an F-test whether the effect of married and nonwhite are jointly significantly different from zero. Write down the null and alternative hypothesis for such a test